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DBMS > Datomic vs. HyperSQL vs. IBM Db2 Event Store vs. Newts vs. Quasardb

System Properties Comparison Datomic vs. HyperSQL vs. IBM Db2 Event Store vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDistributed Event Store optimized for Internet of Things use casesTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.datomic.comhsqldb.orgwww.ibm.com/­products/­db2-event-storeopennms.github.io/­newtsquasar.ai
Technical documentationdocs.datomic.comhsqldb.org/­web/­hsqlDocsFrame.htmlwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperCognitectIBMOpenNMS Groupquasardb
Initial release20122001201720142009
Current release1.0.6735, June 20232.7.2, June 20232.03.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infobased on BSD licensecommercial infofree developer edition availableOpen Source infoApache 2.0commercial 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, ClojureJavaC and C++JavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-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.nonononono
Secondary indexesyesyesnonoyes infowith tags
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimenoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
HTTP API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC
Java
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava, SQLyesnono
TriggersBy using transaction functionsyesnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneActive-active shard replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes 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 developmentyesyesnoyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoCryptographically strong user authentication and audit trail

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More resources
DatomicHyperSQL infoalso known as HSQLDBIBM Db2 Event StoreNewtsQuasardb
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