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Postgres everywhere vs purpose-built databases: where do you draw the line?
Vector search, time series, queues, analytics: many teams now start with Postgres extensions. Where has that worked, and where did you need a dedicated engine?
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Databases
Evaluating Databases this quarter? This page brings together what changed, which companies are most active, what practitioners are asking and how to build a shortlist.
Operational, distributed, time-series and vector databases, and how they are adapting to AI workloads, multi-tenancy and always-on applications.
What changed recently
Start with the news. These are the Databases stories getting the most attention right now, so you know what has shifted before you talk to anyone.
DatabasesHow-toWhy it matters
How to add hybrid search to a Postgres app with Pinecone in 2026
Add hybrid search to a Postgres app with Pinecone: full-text and vector search in one index, Postgres as the source of truth. Built around a snack shop example.
Why it matters, from the Techarda editors: Keeps Postgres as the system of record while adding full-text plus vector retrieval. It’s the pragmatic route for teams that don't want a second primary database just for RAG.
DatabasesComparison
When to choose x86-64 vs aarch64
ARM and x86 can give you different performance at the same vCPU count. Here's what differs, what to measure, and how to choose.
Databases
Who controls your intelligence analysis platform?
Over the years, I’ve seen two broad philosophies emerge for building an intelligence analysis platform. One concentrates knowledge and capability inside the vendor. The other builds them inside the customer’s own team. The distinction matters more as the platform grows.… Read more →
DatabasesHow-to
How to Solve the Agent Handoff Problem
If your agents hand work to each other, or to a teammate's agents, this is the difference between the next agent building on a decision and rebuilding a dead end. Discover how to solve the agent handoff problem with Meko, the agent-native context engine for multi-agent AI systems. The post How to Solve the Agent Handoff Problem appeared first on Yugabyte .
Databases
The official FastAPI Redis SDK is now available
FastAPI now has an official Redis integration. With the fastapi-redis-sdk, we worked closely with the FastAPI team on what a naturally integrated Redis experience should look like, following FastAPI’s dependency model instead of forcing Redis into pat...
Databases
MariaDB R2DBC Connector 1.3.2 and 1.2.4 now available
MariaDB is pleased to announce the immediate availability of the MariaDB Connector/R2DBC 1.3.2 and 1.2.4 releases. Download Now Release Notes […]
Databases
Beyond the Banana: Driving real-time recommendations with graph-grounded Copilots in Microsoft Fabric
Retailers rarely lack data. Between customer profiles, point-of-sale transactions, inventory levels, and promo schedules, modern enterprises generate terabytes of signals daily. The issue is that legacy relational architectures keep this information locked in siloed systems across POS platforms, inventory systems,… Read more →
Databases
Massive Parallel Imports in Neo4j Without Deadlock and Lock Contention
Optimizing graph import partitioning based on workers and k-1 coloring algorithm.This article is a generalization of the approach designed by Eric MONK in his article “Mix and batch: a technique for fast, parallel relationship loading in Neo4j”. It explains the… Read more →
Companies to know in Databases
Those stories keep returning to the same names. These are the companies we track in this category; each profile has its news, solutions and published reviews.
Oracle
Austin, Texas, USA
Oracle is an enterprise software and cloud company known for Oracle Database, Oracle Cloud Infrastructure (OCI), Oracle Fusion Cloud Applications, NetSuite, MySQL and Java. It serves enterprises and governments with databases, ERP, HCM and industry applications, and cloud infrastructure for AI training and inference. Founded in 1977 by Larry Ellison, Bob Miner and Ed Oates, Oracle is listed on the NYSE and headquartered in Austin, Texas.
Microsoft
Redmond, Washington, USA
Microsoft is a global technology company whose enterprise portfolio spans the Azure cloud platform, Microsoft 365 productivity software, Dynamics 365 business applications, security products and developer tools such as GitHub. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is one of the largest providers of cloud and AI services to businesses.
Amazon Web Services
Seattle, Washington, USA
Amazon Web Services (AWS) is the cloud computing subsidiary of Amazon, headquartered in Seattle and launching its core services in 2006. It offers on-demand infrastructure and platform services including EC2 compute, S3 storage, databases such as Aurora and DynamoDB, EKS containers, IoT, analytics, Amazon Bedrock and SageMaker for AI, and Trainium and Graviton custom chips.
Google Cloud
Mountain View, California, USA
Google Cloud is the cloud computing business of Google, a subsidiary of Alphabet Inc. It offers Google Cloud Platform infrastructure and services including Compute Engine, Google Kubernetes Engine, BigQuery, Spanner and the Vertex AI platform with Gemini models, as well as Google Workspace. It serves enterprises, public sector organisations and startups through global cloud regions.
IBM
Armonk, New York, USA
IBM is a US technology company providing hybrid cloud and AI software, infrastructure and consulting. Its portfolio includes Red Hat OpenShift, the watsonx AI and data platform, IBM Z mainframes and Power servers, IBM Storage, Db2 databases, and automation and observability software such as Instana and HashiCorp Terraform. Founded in 1911 and headquartered in Armonk, New York, IBM is listed on the NYSE.
SAP
Walldorf, Baden-Württemberg, Germany
SAP is a German enterprise software company, SAP SE, headquartered in Walldorf, Germany, and founded in 1972. It sells enterprise resource planning software, notably SAP S/4HANA Cloud, along with the SAP HANA database, SAP Business Technology Platform, SAP Business Data Cloud, the Joule AI copilot and agents, SuccessFactors, Ariba, Concur and Signavio. SAP is listed in Frankfurt and on the NYSE.
MongoDB
New York City, New York, USA
MongoDB is a database software company best known for MongoDB, a document-oriented NoSQL database, and MongoDB Atlas, its fully managed multicloud database service with integrated search and vector search. It serves developers and enterprises building operational and AI applications. Founded in 2007 as 10gen and headquartered in New York City, MongoDB is listed on Nasdaq and acquired embedding model provider Voyage AI in 2025.
Redis
Redis is the software company behind the Redis in-memory data store, founded in 2011 as Garantia Data and later known as Redis Labs. It sells Redis Cloud, a fully managed database service, and Redis Software for self-managed deployments. Redis is used for caching, real-time data, messaging, session storage and vector search for AI applications. The company is privately held.
Couchbase
Santa Clara, California, USA
Couchbase is a NoSQL database company headquartered in Santa Clara, California, formed in 2011 through the merger of Membase and CouchOne. It develops Couchbase Server, the Capella database-as-a-service, and Couchbase Mobile for offline-first and edge applications, combining JSON document storage, key-value access, SQL++ querying and vector search. Couchbase was listed on Nasdaq from 2021 until it was taken private by Haveli Investments in 2025.
SingleStore
San Francisco, California, USA
SingleStore is a database company headquartered in San Francisco, California, founded in 2011 as MemSQL. Its distributed SQL database combines transactional and analytical processing, with in-memory rowstore and disk-based columnstore tables, vector and full-text search for real-time applications and AI. SingleStore Helios is its fully managed cloud service; the company is privately held.
Cockroach Labs
New York, New York, USA
Cockroach Labs is a US database company founded in 2015 and headquartered in New York. It develops CockroachDB, a distributed SQL database with PostgreSQL wire compatibility designed for resilience, horizontal scale and multi-region deployments, offered as self-hosted software and as the managed CockroachDB Cloud service on AWS, Google Cloud and Azure.
Neo4j
San Mateo, California, USA
Neo4j is a graph database and analytics company whose flagship Neo4j graph database stores and queries connected data using the Cypher query language. Its offerings include AuraDB, a fully managed cloud service, Graph Data Science for graph algorithms and machine learning, and tooling for GraphRAG and knowledge graphs. Founded in Sweden in 2007 as Neo Technology, it is headquartered in San Mateo, California.
Elastic
San Francisco, California, USA
Elastic is the company behind Elasticsearch, Kibana, Logstash and Beats, collectively known as the Elastic Stack. Founded in 2012 by Shay Banon and others, it is incorporated in the Netherlands and operates as a distributed company with a US headquarters in San Francisco. It offers search, observability and security solutions, delivered via Elastic Cloud or self-managed. Elastic is listed on the NYSE (ESTC).
ClickHouse
ClickHouse, Inc. is the company behind ClickHouse, the open-source column-oriented database for real-time analytics originally developed at Yandex. Formed as an independent company in 2021, it offers ClickHouse Cloud, a managed serverless service on AWS, Google Cloud and Azure, and supports the Apache 2.0-licensed open-source project, used for analytics, observability and AI workloads.
Yugabyte
Sunnyvale, California, USA
Yugabyte is a US database company founded in 2016 by Kannan Muthukkaruppan, Karthik Ranganathan and Mikhail Bautin, former Facebook engineers, and headquartered in Sunnyvale, California. It develops YugabyteDB, an open source, PostgreSQL-compatible distributed SQL database for resilient, horizontally scalable cloud-native applications, offered as self-managed YugabyteDB Anywhere and the fully managed YugabyteDB Aeon service.
InfluxData
San Francisco, California, USA
InfluxData is a US software company that created InfluxDB, an open source time series database, and the Telegraf data collection agent. It sells InfluxDB Cloud and self-managed InfluxDB 3 Enterprise for storing and analysing metrics, events and sensor data in IoT, industrial, observability and real-time analytics use cases. Founded in 2012 by Paul Dix and Todd Persen, InfluxData is privately held.
Supabase
Supabase is an open source backend development platform founded in 2020 by Paul Copplestone and Ant Wilson. Built around a dedicated PostgreSQL database per project, it adds authentication, instant REST and GraphQL APIs, realtime subscriptions, file storage, edge functions and vector search. Supabase is offered as a hosted cloud service and can be self-hosted; it is widely used by startups and AI application builders.
PlanetScale
PlanetScale is a cloud database company offering managed MySQL built on Vitess, the open-source sharding system originally developed at YouTube, and managed PostgreSQL. It provides horizontal scaling, non-blocking schema changes, database branching and PlanetScale Metal, which runs databases on locally attached NVMe storage. PlanetScale was founded in 2018 by Vitess co-creator Sugu Sougoumarane and Jiten Vaidya.
Pinecone
New York City, New York, USA
Pinecone is a vector database company that provides a fully managed, serverless vector database for storing and searching embeddings in AI applications such as retrieval-augmented generation, semantic search and recommendations. Its offerings include Pinecone serverless indexes, integrated embedding and reranking inference, and Pinecone Assistant. Founded in 2019 by Edo Liberty, Pinecone is headquartered in New York City.
MariaDB
MariaDB is the company behind the commercial MariaDB Enterprise Platform, built around MariaDB Server, an open-source relational database created as a fork of MySQL. It sells enterprise database subscriptions, the MaxScale database proxy and support to organisations running transactional workloads. The company traces its origins to SkySQL, founded in 2010, and was taken private by K1 Investment Management in 2024 after a period listed on the NYSE.
What practitioners are asking
Vendor news only tells you half of it. This is what people working in Databases are discussing and asking each other.
New
What is your approach to zero-downtime schema migrations at scale?
Expand-and-contract, online schema change tools, feature flags? Share what has kept large-table migrations boring.
Editorial Answer this
Build a shortlist
With the news, the companies and the open questions in view, pick three to five companies whose products match your problem, read their recent stories and put your remaining questions to the community before you speak to sales.
More Databases stories
If you want more background, here is more of the recent coverage.
Databases
Auditing AWS infrastructure with Neo4j: questions inventory cannot answer
Somebody asks whether GuardDuty covers every account. The question is about holes in the coverage, not about whether the service is switched on. From a flat resource inventory that is a genuinely annoying question. You export accounts, export detectors, line… Read more →
Databases
Pinecone BYOC: Trusted AI Knowledge in the Customer Cloud
Pinecone Bring Your Own Cloud is generally available. The data plane runs in your cloud account, and Pinecone manages it without inbound access.
Databases
Rescored binary vector search in Neo4j: search more with less memory
As an AI application grows, its embeddings can quickly become one of its largest demands on memory. More documents, finer-grained chunks and richer embedding models all increase the amount of vector data your database needs to search. Keeping retrieval fast… Read more →
Databases
TIN Postgres search is faster, better, and cheaper
A good Postgres search demo was doing the rounds online. Let's see what happens when we upgrade it to TIN.
Databases
How moving from Azure Cache for Redis to Azure Managed Redis can cut costs by 40%
Moving to Azure Managed Redis can cut your monthly Redis service cost by around 40%. In four East US 2 Premium-to-Balanced price comparisons, the reduction is 43–44%, with high availability on both sides. Those savings apply when the target size meets...
Databases
Stay up when a region goes down: Highly available Redis for Python apps
Active-Active Redis & client-side geographic failover Active-Active Redis distributes data across multiple regions, allowing each regional database instance to serve both reads and writes. What kind of magic allows that? Redis uses conflict-free repl...
Databases
ClickHouse release 26.9
ClickHouse 26.9 introduces conditional LIMIT boundaries, incremental refreshes for append-only materialized views, disk spilling for DISTINCT, time-limited tokens, and faster min/max/count queries.
Databases
ClickHouse appoints Mike Scarpelli, former Snowflake and ServiceNow CFO, to Board of Directors
ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML, today announced the appointment of Michael Scarpelli to its Board of Directors
Databases
How Fountain rebuilt its data plane on ClickHouse Cloud to power Cue, the Frontline Superintelligence
Fountain cut analytics latency from three hours to under two minutes and costs by 66% by rebuilding Cue’s data plane on ClickPipes and ClickHouse Cloud.
Databases
Anatomy of a (Postgres) search engine
How a full-text search engine works, and how it works in Postgres
Databases
Introducing Smooth Scaling: faster, more intelligent scaling
Scaling your Redis Cloud Pro database is now significantly faster and gentler on your application, without changing how you scale. Demand is rarely predictable. A promotion takes off, a product goes viral, a new region comes online, or Black Friday a...
Databases
Redis introduces new capabilities to help you operate, build, and scale with confidence
Your apps are growing more distributed, data-intensive, and business-critical. As Redis has become a larger part of your architecture, managing deployments, connecting data sources, and responding to changing demand can introduce operational friction....
Databases
From Two Codebases to One: How DataVue Brought Phonetic Match Keys into SingleStore with Python UDFs
See how DataVue used SingleStore Python UDFs to unify phonetic matching in one codebase, halve processing time and keep regulated data on-platform.
Databases
Postgres on NVMe: performance and the convergence of transactions and analytics
See how local NVMe transforms Postgres transaction performance—and why ClickHouse remains essential for fast analytics as workloads scale.
Databases
Blocking cutovers to save replication slots
Postgres understands high-availability architecture, but its defaults assume you don't have replication slots. This can get you into trouble in a cutover event. The combination of what Postgres can do and what PlanetScale lets you do is what keeps connected applications safe.
Databases
Inside a YugabyteDB Internship
From zero distributed systems experience to shipping password compliance to enterprises. This retrospective blog from Yugabyte Software Engineer Intern Angela Xu details the projects, people, and lessons she learned during her time on Yugabyte’s query layer team, including why preventing password reuse is a tricky problem in a distributed database. The post Inside a YugabyteDB Internship appeared…