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DBMS > Datomic vs. LevelDB vs. Postgres-XL vs. RRDtool vs. TimesTen

System Properties Comparison Datomic vs. LevelDB vs. Postgres-XL vs. RRDtool vs. TimesTen

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRRDtool  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.In-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitewww.datomic.comgithub.com/­google/­leveldbwww.postgres-xl.orgoss.oetiker.ch/­rrdtoolwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.datomic.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentationoss.oetiker.ch/­rrdtool/­docdocs.oracle.com/­database/­timesten-18.1
DeveloperCognitectGoogleTobias OetikerOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201220112014 infosince 2012, originally named StormDB19991998
Current release1.0.7075, December 20231.23, February 202110 R1, October 20181.8.0, 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSDOpen Source infoMozilla public licenseOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++CC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS
HP-UX
Linux
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes
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.nonoyes infoXML type, but no XML query functionalityno infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared library
Pipes
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesClojure
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoTransaction Functionsnouser defined functionsnoPL/SQL
TriggersBy using transaction functionsnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonehorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infowith automatic compression on writesyesyesyes 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.yes inforecommended only for testing and developmentnoyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
DatomicLevelDBPostgres-XLRRDtoolTimesTen
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