Citus Con 2023 is a wrap! 🎁 Thanks for joining the fun. Missed it? You can still watch all 37 talks online 🖥
With Citus, you can scale Postgres with superpowers like distributed tables, distributed SQL engine, columnar, & more.
You can also spin up a Citus cluster in the cloud on Azure with Azure Cosmos DB for PostgreSQL.
Scale Postgres by distributing data & queries. You can start with a single Citus node, and simply add nodes & rebalance shards in order to grow.
Reduce your infrastructure headaches by using a single database for both your transactional and analytical workloads.
Speed up queries by 20x to 300x (or more) through parallelism, keeping more data in memory, higher I/O bandwidth, and columnar compression.
Download and use Citus open source for free. You can manage Citus yourself, embrace open source, and help us improve Citus via GitHub.
Citus is an extension (not a fork) to the latest Postgres versions, so you can use your familiar SQL toolset & leverage your Postgres expertise.
Focus on your application and forget about your database. Run your app on Citus in the cloud with Azure Cosmos DB for PostgreSQL.
When querying a Citus cluster, most applications query the Citus coordinator, as depicted in the diagram. However as of Citus 11, you can now send queries to any of the nodes in the cluster (excluding schema changes, those still go to the coordinator.) The Citus node you connect to will transform the SQL queries & route the transformed queries to the correct shards. In this animation, the
Side-By-Side Performance Comparison
Watch this demo to see how Citus gives this application ~20X faster transactions and
11.3 is out! Find the noisy neighbor in your cluster thanks to insights on CPU usage and query counts gained with tenant monitoring.
Citus Con: An Event for Postgres 2023 is a wrap! Watch the livestream replays or the on-demand sessions. Be inspired.
|Distributed query engine||Distributed query planner & adaptive executor that parallelizes queries across shards and nodes.|
|Distributed tables||Shard tables across a cluster of Postgres nodes to leverage their combined CPU, memory, disk, and I/O.|
|Reference tables||Replicate tables to enable JOINs, foreign keys from distributed tables, & faster reads.|
|Co-located shards||Optimize performance for joins and foreign keys by co-locating shards of distributed tables.|
|Parallel distributed SELECT||Parallelize analytical queries across the distributed cluster for maximum performance.|
|Parallel distributed DML||Transform data inside the database with parallelized update, delete, & insert..select commands.|
|Full SQL query routing||Route complex SQL queries and transactions across a cluster with minimal overhead.|
|Distributed transactions||Perform complex transactions, stored procedures, and more in atomic distributed transactions.|
|Parallelized COPY||Employ parallel indexing, constraint checking, and disk writes to speed up data loading streams.|
|Change Data Capture (CDC, in Preview)||Citus 11.3 adds a new citus.enable_change_data_capture setting (in preview) that enables logical replication for distributed tables and reference tables to the CDC clients.|
|Columnar storage||Compress local and/or distributed tables to save on storage, reduce I/O bandwidth, & speed up analytics queries.|
|Sharding||Transparently distributes tables across Citus worker nodes, to enable scale out & improve performance. New to Citus 11.1 is a create_distributed_table_concurrently function.|
|Easy to add nodes||Easy to add more Citus nodes, whether starting with Citus on a single node or a multi-node cluster.|
|Shard rebalancer||Redistribute shards across nodes and track rebalancer progress in a Citus cluster. Online, non-blocking, fully open source. In 11.1, added background shard rebalancer.|
|Single-node Citus||Be scale-out ready by starting (or testing) on a single Citus node. So you can easily add nodes later.|
|Distributed Postgres cluster||Combine the compute, memory, disk, & IO of multiple database nodes into one database.|
|Tenant monitoring||New in 11.3, use citus_stat_tenants view to monitor your tenant’s usage statistics|
|Tenant isolation||Isolate shards for large SaaS tenants to improve performance for other SaaS tenants. Fully open source, and with zero-downtime.|
|Sharding flexibility||Tooling to change how data is distributed: change shard count, undistribute tables, change distribution column.|
|Query from any node||Automatic metadata syncing (added in Citus 11) means you can now query from any node if you need to reach higher query throughput.|
|HA with Patroni||New to Citus 11.2 integration with Patroni 3.0 gives you fully declarative clustering with high availability and automatic failover.|
|Open Source||PostgreSQL & Citus are built on one of the most collaborative open source ecosystems.|
|Packaged as an extension||Citus is an extension to Postgres (not a fork)—so when you use Citus, you’re also using Postgres.|
|Postgres tooling & ecosystem||Rich ecosystem of Postgres tooling & integrations.|
|Joins||One of the reasons (along with foreign keys & constraints) that teams who need scale want to keep using Postgres.|
|Indexes||Postgres offers different index types: B-tree, GIN, BRIN, GiST, as well as partial indexes.|
|Stored procedures||Ability to run functions within the database to execute complex transactions efficiently.|
|UPDATE/DELETE||Staple of relational databases: the ability to update (modify) or delete older data.|
|Constraints||Constraints are a powerful construct to enforce rules and keep invalid data out of your Postgres database.|
|Time Partitioning||Citus works with native Postgres range partitioning, and also provides tooling for easily managing time partitions.|
|JSON & JSONB||JSON and JSONB data types are a popular way to store & index semi-structured data in Postgres.|
|Rich datatypes||Citus works well with the 40+ data types in Postgres, plus the ability to create custom, user-defined types.|
|Postgres extension compatibility||Popular extensions often used with Citus: PostGIS, HLL, pg_cron, pg_stat_statements, t-digest, pgvector, pg_partman, TopN, & more.|
|Citus on Azure||Citus is available as a managed service with Azure Cosmos DB for PostgreSQL.|
|Postgres versions & upgrades||Postgres 11, 12, 13, 14, & 15 all available. |
|Single node||Be scale-out ready by starting small on a single PostgreSQL node. Also handy for testing.|
|Scaling up||Compute goes up to 104 vcores per node. Easy to increase or decrease compute/memory—and increase storage—on your Azure Cosmos DB for PostgreSQL coordinator & worker nodes.|
|Scaling out||Easy to add nodes to your Azure Cosmos DB for PostgreSQL cluster with just a few clicks in the portal. Completely online operation with zero application downtime.|
|High Availability||HA uses standby replicas for all nodes in a cluster, with streaming replication & automated failover.|
|Automated backup & restore||Automated backups stored in multiple Azure availability zones. Backups stored for 35 days. Point in time recovery (PITR) is supported. You can fork your cluster using PITR, too.|
|Geo-redundant DR||If something goes wrong with your primary cluster, or with an entire region, you can open a read replica for writes as part of your disaster recovery.|
|Monitoring & alerts||Automated monitoring, configurable metrics dashboard, plus alert setup through Azure Monitor.|
|Security controls||Encryption at rest & in flight, firewall rules, and 2FA. Also private link.|
|Pay as you go or prepay||Pay-as-you-go pricing, or prepay with reserved capacity discounts.|
|Azure ecosystem integrations||Azure Data Factory, Azure Monitor, Azure Service Health, Azure Data Studio. Also, Azure Stream Analytics (in preview).|
|Global read replicas||Read-only replicas of Azure Cosmos DB for PostgreSQL clusters available globally, in any supported Azure region. Can be used for DR.|
|Managed PgBouncer||Outsource PgBouncer administration to Azure.|
|Compliance||Certifications achieved with Azure Cosmos DB for PostgreSQL: HITRUST, HIPAA, SOC 2 Type 2, ISO 27001, FedRAMP High, & more.|
|Functional parity||You get functional parity between your local desktop and the cloud by using Citus open source on your desktop and Azure Cosmos DB for PostgreSQL in the cloud.|
|Free trial||Develop for free with the free trial for Azure Cosmos DB for PostgreSQL.|
|Getting Started tips||Getting Started page includes a curated set of docs, videos, tutorials, & blog posts to help get you started.|
|Packages||Download & installation instructions for setting up Citus on a single-node or on a multi-node cluster.|
|Documentation||Open source Citus docs cover concepts, architecture, admin, tutorials, use case guides, & troubleshooting.|
|Videos||Playlist of demos & videos can also be found in the Learn Your Way blade on the Citus Getting Started page.|
|Release Notes||The Updates pages give you all the details about content of each new version.|
|Citus Public Slack||Citus Slack is for community Q&A about the Citus extension to Postgres.|
|Citus Blog||Citus Blog publishes engineering posts about Postgres, Citus, sharding, & distributed databases.|
|Azure Cosmos DB for PostgreSQL Blog||Blog posts about Citus on Azure can be found on the Azure Cosmos DB for PostgreSQL devblog—as well as on Microsoft Tech Community where we used to blog about Hyperscale (Citus) topics too.|
|Citus Newsletter||Subscribe to the monthly newsletter with thousands of subscribers for useful tech content on Postgres & Citus.|
|GitHub repo||Open source GitHub repo contains the source code, open issues, changelogs, README, & more.|
|Citus Con Videos||This playlist includes the 13 user and developer talks from the inaugural Citus Con: An Event for Postgres.|
Not every application benefits from distributing Postgres, parallelizing queries, compressing tables via columnar, and the ability to scale from a single node to a distributed database cluster. But many do. Some popular use cases for the Citus database: multi-tenant SaaS apps, real-time analytics, & time series.