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DBMS > eXtremeDB vs. JanusGraph vs. NSDb vs. Speedb

System Properties Comparison eXtremeDB vs. JanusGraph vs. NSDb vs. Speedb

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.21
Rank#315  Overall
#45  Key-value stores
Websitewww.mcobject.comjanusgraph.orgnsdb.iowww.speedb.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.janusgraph.orgnsdb.io/­Architecture
DeveloperMcObjectLinux Foundation; originally developed as Titan by AureliusSpeedb
Initial release2001201720172020
Current release8.2, 20210.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJava, ScalaC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
macOS
Linux
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringno
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 infosupport of XML interfaces availablenonono
Secondary indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoSQL-like query languageno
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Clojure
Java
Python
Java
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesyesnono
Triggersyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverno
More information provided by the system vendor
eXtremeDBJanusGraph infosuccessor of TitanNSDbSpeedb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source - Speedb OSS is released under an Apache license and can be found on...
» more

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eXtremeDBJanusGraph infosuccessor of TitanNSDbSpeedb
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