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DBMS > HBase vs. Immudb vs. InfinityDB vs. Milvus

System Properties Comparison HBase vs. Immudb vs. InfinityDB vs. Milvus

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonImmudb  Xexclude from comparisonInfinityDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A Java embedded Key-Value Store which extends the Java Map interfaceA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelWide column storeKey-value storeKey-value storeVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.25
Rank#307  Overall
#43  Key-value stores
Score0.07
Rank#359  Overall
#54  Key-value stores
Score1.81
Rank#144  Overall
#5  Vector DBMS
Websitehbase.apache.orggithub.com/­codenotary/­immudb
immudb.io
boilerbay.commilvus.io
Technical documentationhbase.apache.org/­book.htmldocs.immudb.ioboilerbay.com/­infinitydb/­manualmilvus.io/­docs/­overview.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetCodenotaryBoiler Bay Inc.
Initial release2008202020022019
Current release2.3.4, January 20211.2.3, April 20224.02.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaGoJavaC++, Go
Server operating systemsLinux
Unix
Windows infousing Cygwin
BSD
Linux
macOS
Solaris
Windows
z/OS
All OS with a Java VMLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-free, schema definition possibleschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysVector, 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.nononono
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnoSQL-like syntaxnono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
gRPC protocol
PostgreSQL wire protocol
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
JavaC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoRole based access control and fine grained access rights
More information provided by the system vendor
HBaseImmudbInfinityDBMilvus
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

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HBaseImmudbInfinityDBMilvus
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