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DBMS > Datomic vs. Graph Engine vs. Newts vs. PostGIS vs. Quasardb

System Properties Comparison Datomic vs. Graph Engine vs. Newts vs. PostGIS vs. Quasardb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNewts  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTime Series DBMS based on CassandraSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.datomic.comwww.graphengine.ioopennms.github.io/­newtspostgis.netquasar.ai
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualgithub.com/­OpenNMS/­newts/­wikipostgis.net/­documentationdoc.quasar.ai/­master
DeveloperCognitectMicrosoftOpenNMS Groupquasardb
Initial release20122010201420052009
Current release1.0.6735, June 20233.4.2, February 20243.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and CJavaCC++
Server operating systemsAll OS with a Java VM.NETLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.nononoyesno
Secondary indexesyesnoyesyes infowith tags
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIHTTP REST
Java API
HTTP API
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnouser defined functionsno
TriggersBy using transaction functionsnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningSharding infobased on Cassandrayes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on Cassandrayes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes infoby using LevelDB
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 developmentyesnonoyes infoTransient mode
User concepts infoAccess controlnonoyes infobased on PostgreSQLCryptographically strong user authentication and audit trail

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More resources
DatomicGraph Engine infoformer name: TrinityNewtsPostGISQuasardb
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