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DBMS > Datomic vs. EXASOL vs. GigaSpaces vs. NSDb

System Properties Comparison Datomic vs. EXASOL vs. GigaSpaces vs. NSDb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonGigaSpaces  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websitewww.datomic.comwww.exasol.comwww.gigaspaces.comnsdb.io
Technical documentationdocs.datomic.comwww.exasol.com/­resourcesdocs.gigaspaces.com/­latest/­landing.htmlnsdb.io/­Architecture
DeveloperCognitectExasolGigaspaces Technologies
Initial release2012200020002017
Current release1.0.6735, June 202315.5, September 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava, C++, .NetJava, Scala
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, string
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-99 for query and DML statementsSQL-like query language
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
Java
Lua
Python
R
.Net
C++
Java
Python
Scala
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsyesno
TriggersBy using transaction functionsyesyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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)yesyesUsing Apache Lucene
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 developmentyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
DatomicEXASOLGigaSpacesNSDb
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