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DBMS > Apache Kylin vs. HarperDB vs. Hypertable vs. Milvus vs. TerarkDB

System Properties Comparison Apache Kylin vs. HarperDB vs. Hypertable vs. Milvus vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonHarperDB  Xexclude from comparisonHypertable  Xexclude from comparisonMilvus  Xexclude from comparisonTerarkDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An open source BigTable implementation based on distributed file systems such as HadoopA DBMS designed for efficient storage of vector data and vector similarity searchesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSDocument storeWide column storeVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitekylin.apache.orgwww.harperdb.iomilvus.iogithub.com/­bytedance/­terarkdb
Technical documentationkylin.apache.org/­docsdocs.harperdb.io/­docsmilvus.io/­docs/­overview.mdbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation, originally contributed from eBay IncHarperDBHypertable Inc.ByteDance, originally Terark
Initial release20152017200920192016
Current release3.1.0, July 20203.1, August 20210.9.8.11, March 20162.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercial inforestricted open source version available
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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaNode.jsC++C++, GoC++
Server operating systemsLinuxLinux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnoVector, Numeric and Stringno
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 indexesyesyesrestricted infoonly exact value or prefix value scansnono
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)SQL-like data manipulation statementsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
C++ API
Thrift
RESTful HTTP APIC++ API
Java API
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
Perl
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1nonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights for users and rolesnoRole based access control and fine grained access rightsno
More information provided by the system vendor
Apache KylinHarperDBHypertableMilvusTerarkDB
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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Apache KylinHarperDBHypertableMilvusTerarkDB
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