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DBMS > JanusGraph vs. RavenDB vs. Speedb

System Properties Comparison JanusGraph vs. RavenDB vs. Speedb

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonRavenDB  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open Source Operational and Transactional Enterprise NoSQL Document DatabaseAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelGraph DBMSDocument storeKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Score0.20
Rank#310  Overall
#44  Key-value stores
Websitejanusgraph.orgravendb.netwww.speedb.io
Technical documentationdocs.janusgraph.orgravendb.net/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusHibernating RhinosSpeedb
Initial release201720102020
Current release1.0.0, October 20235.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C++
Server operating systemsLinux
OS X
Unix
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnono
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
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)no
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesClojure
Java
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesyesno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yes
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAuthorization levels configured per client per databaseno

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More resources
JanusGraph infosuccessor of TitanRavenDBSpeedb
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Simple Deployment of a Graph Database: JanusGraph
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Database Deep Dives: JanusGraph
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JanusGraph Picks Up Where TitanDB Left Off
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Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
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15 September 2017, ibm.com

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