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DBMS > Apache Druid vs. H2 vs. Hypertable vs. LevelDB vs. Tibero

System Properties Comparison Apache Druid vs. H2 vs. Hypertable vs. LevelDB vs. Tibero

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonH2  Xexclude from comparisonHypertable  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.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFull-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 HadoopEmbeddable 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 DBMS
Time Series DBMS
Relational DBMSWide column storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitedruid.apache.orgwww.h2database.comgithub.com/­google/­leveldbus.tmaxsoft.com/­products/­tibero
Technical documentationdruid.apache.org/­docs/­latest/­designwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation and contributorsThomas MuellerHypertable Inc.GoogleTmaxSoft
Initial release20122005200920112003
Current release29.0.1, April 20242.2.220, July 20230.9.8.11, March 20161.23, February 20216, April 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license availableOpen 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 languageJavaJavaC++C++C and Assembler
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLSQL for queryingyesnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
C++ API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaC++
Java
Perl
PHP
Python
Ruby
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 proceduresnoJava Stored Procedures and User-Defined FunctionsnonoPersistent Stored Procedure (PSM)
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system levelnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno infoplanned for next version
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Apache DruidH2HypertableLevelDBTibero
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