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DBMS > Datomic vs. GigaSpaces vs. Speedb vs. TypeDB

System Properties Comparison Datomic vs. GigaSpaces vs. Speedb vs. TypeDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSpeedb  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Score0.65
Rank#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitewww.datomic.comwww.gigaspaces.comwww.speedb.iotypedb.com
Technical documentationdocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmltypedb.com/­docs
DeveloperCognitectGigaspaces TechnologiesSpeedbVaticle
Initial release2012200020202016
Current release1.0.7180, July 202415.5, September 20202.28.3, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0; commercial license availableOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, C++, .NetC++Java
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnono
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Supported programming languagesClojure
Java
.Net
C++
Java
Python
Scala
C
C++
Go
Java
Perl
Python
Ruby
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnono
TriggersBy using transaction functionsyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioningno
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
yesSynchronous replication via raft
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
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
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 developmentyesyesno
User concepts infoAccess controlnoRole-based access controlnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
DatomicGigaSpacesSpeedbTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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DatomicGigaSpacesSpeedbTypeDB infoformerly named Grakn
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