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Apache Druid vs Materialize

Apache Druid

druid.apache.org

Materialize

materialize.com

Side by side

FigureApache DruidMaterialize
Price fromFree$0.13/mo
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published14
Spec score · Big Data Analytics Software9.0 (#2)8.0 (#16)
Spec score · Stream Analytics Software9.0 (#2)8.1 (#12)
Spec score · Streaming Analytics Software9.0 (#2)8.0 (#9)
Spec score · Analytics Data9.0 (#3)8.2 (#12)
DeploymentDruid can run on commodity hardware in *NIX environments and is designed to run in AWS, GCP, Azure, and other cloud environments.Materialize is offered as a fully managed Cloud service, self-managed software for Kubernetes environments, and a Docker-based local development Emulator.
IntegrationsCore extensions support systems and formats including S3, HDFS, Google Cloud Storage, Azure, Kafka, Kinesis, Avro, ORC, Parquet, MySQL, and PostgreSQL.The integrations page lists PostgreSQL, MySQL, SQL Server, CockroachDB, Kafka, Model Context Protocol, dbt and webhooks, including EventBridge and Segment.
SupportThe project directs users to its community network for help using Druid.Cloud On-Demand includes chatbot and helpdesk ticket support, while Cloud Capacity includes a dedicated account team and guided onboarding.

Plans

Apache Druid

  • Apache DruidFree

Apache Druid pricing →

Materialize

  • Community LicenseFree
  • Cloud Capacity$1.50 a year
  • Cloud On-Demand$1.50 a month
  • Enterprise LicensePrice not published

Materialize pricing →

In their own words

Apache Druid

Apache Druid is a free, open-source analytics database for querying streaming and batch data. It is designed to return OLAP queries in milliseconds, including on high-cardinality datasets with billions to trillions of rows. The project describes applications ranging from hundreds to 100,000 queries per second. Native Apache Kafka and Amazon Kinesis integrations support low-latency ingestion and querying as data arrives. Druid organizes ingested data into columnar, time-indexed, encoded and compressed storage. Queries can use Druid SQL or JSON-over-HTTP, and joins are available during ingestion or at query time. Its web console can load data, manage datasources and tasks, show server status and run queries. Extensions connect to storage, databases and formats including S3, HDFS, Azure, PostgreSQL, Avro, ORC and Parquet. Druid can be self-hosted on Linux, macOS and other Unix-like systems; Windows is not supported. The local quickstart needs at least 6 GiB of RAM and Java 17. Production security controls require configuration.

Visit druid.apache.org

Materialize

Materialize is a live data layer for apps and AI agents that uses SQL to create up-to-the-second views. Rather than rebuilding query results from scratch as data arrives, it updates them incrementally. Connected sources appear as continually updating tables with sub-second freshness. SQL features include multi-way, lateral, and outer joins, recursive SQL, and SUBSCRIBE, which streams query-result changes over a standard Postgres connection.

Materialize is wire-compatible with PostgreSQL and supports clients and tools that work with PostgreSQL. Listed integrations include PostgreSQL, MySQL, SQL Server, CockroachDB, Kafka, Model Context Protocol, dbt, and webhooks such as EventBridge and Segment. Transformed updates can go to downstream systems including Kafka and Apache Iceberg. It is available as managed Cloud, self-managed Kubernetes software, and a Docker-based local development Emulator. The free self-managed Community Edition is limited to 24 GiB memory and 48 GiB disk. Cloud On-Demand is $1.50 a month, with usage-based compute, storage, and networking; Cloud Capacity is $1.50 a year, with storage and networking billed separately.

Visit materialize.com