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DBMS > Datomic vs. Ignite vs. Newts vs. Quasardb

System Properties Comparison Datomic vs. Ignite vs. Newts vs. Quasardb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIgnite  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 durabilityApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Time Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.08
Rank#132  Overall
#64  Relational DBMS
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.04
Rank#383  Overall
#42  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Websitewww.datomic.comignite.apache.orgopennms.github.io/­newtsquasar.ai
Technical documentationdocs.datomic.comapacheignite.readme.io/­docsgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperCognitectApache Software FoundationOpenNMS Groupquasardb
Initial release2012201520142009
Current release1.0.6735, June 2023Apache Ignite 2.63.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, Java, .NetJavaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyesnono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
Java API
HTTP API
Supported programming languagesClojure
Java
C#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes (compute grid and cache interceptors can be used instead)nono
TriggersBy using transaction functionsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes (replicated cache)selectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes 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 developmentyesnoyes infoTransient mode
User concepts infoAccess controlnoSecurity Hooks for custom implementationsnoCryptographically strong user authentication and audit trail

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More resources
DatomicIgniteNewtsQuasardb
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