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DBMS > H2 vs. Hypertable vs. KeyDB vs. LevelDB vs. Tibero

System Properties Comparison H2 vs. Hypertable vs. KeyDB vs. LevelDB vs. Tibero

Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHypertable  Xexclude from comparisonKeyDB  Xexclude from comparisonLevelDB  Xexclude from comparisonTibero  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source BigTable implementation based on distributed file systems such as HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSWide column storeKey-value storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.h2database.comgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­google/­leveldbus.tmaxsoft.com/­products/­tibero
Technical documentationwww.h2database.com/­html/­main.htmldocs.keydb.devgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperThomas MuellerHypertable Inc.EQ Alpha Technology Ltd.GoogleTmaxSoft
Initial release20052009201920112003
Current release2.2.220, July 20230.9.8.11, March 20161.23, February 20216, April 2015
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license availableOpen Source infoBSD-3Open Source infoBSDcommercial
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.
Implementation languageJavaC++C++C++C and Assembler
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
LinuxIllumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnoyes
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
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infoby using the Redis Search modulenoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined FunctionsnoLuanoPersistent Stored Procedure (PSM)
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system levelMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno infoplanned for next version
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access control and ACLnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
H2HypertableKeyDBLevelDBTibero
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