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DBMS > GigaSpaces vs. JanusGraph vs. TerarkDB vs. TypeDB

System Properties Comparison GigaSpaces vs. JanusGraph vs. TerarkDB vs. TypeDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTerarkDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitewww.gigaspaces.comjanusgraph.orggithub.com/­bytedance/­terarkdbtypedb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.janusgraph.orgbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKctypedb.com/­docs
DeveloperGigaspaces TechnologiesLinux Foundation; originally developed as Titan by AureliusByteDance, originally TerarkVaticle
Initial release2000201720162016
Current release15.5, September 20200.6.3, February 20232.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercial inforestricted open source version 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

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Implementation languageJava, C++, .NetJavaC++Java
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
C++ API
Java API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C++
Java
Python
Scala
Clojure
Java
Python
C++
Java
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresyesyesnono
Triggersyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnoneMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Faunus, a graph analytics enginenoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono infosubstituted by the relationship feature
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 persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlUser authentification and security via Rexster Graph Servernoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
GigaSpacesJanusGraph infosuccessor of TitanTerarkDBTypeDB 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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GigaSpacesJanusGraph infosuccessor of TitanTerarkDBTypeDB infoformerly named Grakn
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