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DBMS > Apache Impala vs. ClickHouse vs. Geode vs. Hazelcast vs. Milvus

System Properties Comparison Apache Impala vs. ClickHouse vs. Geode vs. Hazelcast vs. Milvus

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonClickHouse  Xexclude from comparisonGeode  Xexclude from comparisonHazelcast  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA widely adopted in-memory data gridA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSKey-value storeKey-value storeVector DBMS
Secondary database modelsDocument storeTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score16.34
Rank#38  Overall
#23  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteimpala.apache.orgclickhouse.comgeode.apache.orghazelcast.commilvus.io
Technical documentationimpala.apache.org/­impala-docs.htmlclickhouse.com/­docsgeode.apache.org/­docshazelcast.org/­imdg/­docsmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClickhouse Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hazelcast
Initial release20132016200220082019
Current release4.1.0, June 2022v24.4.1.2088-stable, May 20241.1, February 20175.3.6, November 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++JavaJavaC++, Go
Server operating systemsLinuxFreeBSD
Linux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredAll OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesVector, Numeric and String
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language (OQL)SQL-like query languageno
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Java Client API
Memcached protocol
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersnonoyes infoCache Event Listenersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replicationyes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Access rights per client and object definableRole-based access controlRole based access control and fine grained access rights
More information provided by the system vendor
Apache ImpalaClickHouseGeodeHazelcastMilvus
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache ImpalaClickHouseGeodeHazelcastMilvus
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