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DBMS > Blueflood vs. Ingres vs. LevelDB vs. Riak KV vs. TimesTen

System Properties Comparison Blueflood vs. Ingres vs. LevelDB vs. Riak KV vs. TimesTen

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonIngres  Xexclude from comparisonLevelDB  Xexclude from comparisonRiak KV  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraWell established RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, fault tolerant key-value storeAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelTime Series DBMSRelational DBMSKey-value storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteblueflood.iowww.actian.com/­databases/­ingresgithub.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.actian.com/­ingresgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperRackspaceActian CorporationGoogleOpenSource, formerly Basho TechnologiesOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20131974 infooriginally developed at University Berkely in early 1970s201120091998
Current release12.0, July 20241.23, February 20213.2.0, December 2022Release 22.1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoApache version 2, commercial enterprise editioncommercial
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 languageJavaCC++Erlang
Server operating systemsLinux
OS X
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemepredefined schemeyesschema-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.nono infobut tools for importing/exporting data from/to XML-files availablenonono
Secondary indexesnoyesnorestrictedyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Native Erlang Interface
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyesnoErlangPL/SQL
Triggersnoyesnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraIngres Replicatornoneselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnoyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
BluefloodIngresLevelDBRiak KVTimesTen
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