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DBMS > RavenDB vs. Splice Machine vs. TigerGraph

System Properties Comparison RavenDB vs. Splice Machine vs. TigerGraph

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMSGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.01
Rank#101  Overall
#17  Document stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websiteravendb.netsplicemachine.comwww.tigergraph.com
Technical documentationravendb.net/­docssplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperHibernating RhinosSplice Machine
Initial release201020142017
Current release5.4, July 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query language (RQL)yesSQL-like query language (GSQL)
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyesyes infoJavayes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault 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.Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAuthorization levels configured per client per databaseAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
RavenDBSplice MachineTigerGraph
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31 July 2023, Datanami

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20 June 2023, SiliconANGLE News

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