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DBMS > Hypertable vs. IBM Db2 warehouse vs. Milvus vs. SiteWhere vs. Warp 10

System Properties Comparison Hypertable vs. IBM Db2 warehouse vs. Milvus vs. SiteWhere vs. Warp 10

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMilvus  Xexclude from comparisonSiteWhere  Xexclude from comparisonWarp 10  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopCloud-based data warehousing serviceA DBMS designed for efficient storage of vector data and vector similarity searchesM2M integration platform for persisting/querying time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelWide column storeRelational DBMSVector DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.ibm.com/­products/­db2/­warehousemilvus.iogithub.com/­sitewhere/­sitewherewww.warp10.io
Technical documentationmilvus.io/­docs/­overview.mdsitewhere1.sitewhere.io/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperHypertable Inc.IBMSiteWhereSenX
Initial release20092014201920102015
Current release0.9.8.11, March 20162.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageC++C++, GoJavaJava
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyespredefined schemeschema-free
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyesyes
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.no infoImport/export of XML data possiblenonono
Secondary indexesrestricted infoonly exact value or prefix value scansyesnonono
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsC++ API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP APIHTTP RESTHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnoyes infoWarpScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesselectable replication factor infobased on HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
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.yesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole based access control and fine grained access rightsUsers with fine-grained authorization conceptMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
HypertableIBM Db2 warehouse infoformerly named IBM dashDBMilvusSiteWhereWarp 10
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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HypertableIBM Db2 warehouse infoformerly named IBM dashDBMilvusSiteWhereWarp 10
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