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DBMS > Drizzle vs. HarperDB vs. IBM Db2 vs. JanusGraph vs. Kinetica

System Properties Comparison Drizzle vs. HarperDB vs. IBM Db2 vs. JanusGraph vs. Kinetica

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-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.Common in IBM host environments, 2 different versions for host and Windows/LinuxA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.harperdb.iowww.ibm.com/­products/­db2janusgraph.orgwww.kinetica.com
Technical documentationdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2docs.janusgraph.orgdocs.kinetica.com
DeveloperDrizzle project, originally started by Brian AkerHarperDBIBMLinux Foundation; originally developed as Titan by AureliusKinetica
Initial release200820171983 infohost version20172012
Current release7.2.4, September 20123.1, August 202112.1, October 20160.6.3, February 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree community edition availablecommercial infofree version is availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsC and C++JavaC, C++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Linux
Data schemeyesdynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like data manipulation statementsyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
PHP
.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
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesyesuser defined functions
Triggersno infohooks for callbacks inside the server can be used.noyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoonly with Windows/Unix/Linux Versionyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedyes infowith separate tools (MQ, InfoSphere)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table level

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More resources
DrizzleHarperDBIBM Db2 infoformerly named DB2 or IBM Database 2JanusGraph infosuccessor of TitanKinetica
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