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DBMS > Bangdb vs. ClickHouse vs. Geode vs. Hazelcast vs. Milvus

System Properties Comparison Bangdb vs. ClickHouse vs. Geode vs. Hazelcast vs. Milvus

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonClickHouse  Xexclude from comparisonGeode  Xexclude from comparisonHazelcast  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA 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 modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeKey-value storeVector DBMS
Secondary database modelsSpatial DBMSTime Series DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series 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
Websitebangdb.comclickhouse.comgeode.apache.orghazelcast.commilvus.io
Technical documentationdocs.bangdb.comclickhouse.com/­docsgeode.apache.org/­docshazelcast.org/­imdg/­docsmilvus.io/­docs/­overview.md
DeveloperSachin Sinha, BangDBClickhouse Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hazelcast
Initial release20122016200220082019
Current releaseBangDB 2.0, October 2021v24.4.1.2088-stable, May 20241.1, February 20175.3.6, November 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open 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.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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++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 schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesVector, 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 indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyesno
SQL infoSupport of SQLSQL like support with command line toolClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language (OQL)SQL-like query languageno
APIs and other access methodsProprietary protocol
RESTful HTTP API
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 languagesC
C#
C++
Java
Python
C# 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 proceduresnoyesuser defined functionsyes infoEvent Listeners, Executor Servicesno
Triggersyes, Notifications (with Streaming only)noyes infoCache Event Listenersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmkey based and customShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Asynchronous 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 methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate 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 dataACIDnoyes, on a single nodeone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyesyesyes
User concepts infoAccess controlyes (enterprise version only)Access 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
BangdbClickHouseGeodeHazelcastMilvus
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
BangdbClickHouseGeodeHazelcastMilvus
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