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DBMS > Sequoiadb vs. Splice Machine vs. Stardog vs. VoltDB

System Properties Comparison Sequoiadb vs. Splice Machine vs. Stardog vs. VoltDB

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Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSplice Machine  Xexclude from comparisonStardog  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.sequoiadb.comsplicemachine.comwww.stardog.comwww.voltdb.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsplicemachine.com/­how-it-worksdocs.stardog.comdocs.voltdb.com
DeveloperSequoiadb Ltd.Splice MachineStardog-UnionVoltDB Inc.
Initial release2013201420102010
Current release3.1, March 20217.3.0, May 202011.3, April 2022
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPL 3.0, commercial license availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaJava, C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X infofor development
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyesyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query languageyesYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoonly a subset of SQL 99
APIs and other access methodsproprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresJavaScriptyes infoJavauser defined functions and aggregates, HTTP Server extensions in JavaJava
Triggersnoyesyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyes inforelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlsimple password-based access controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesUsers and roles with access to stored procedures

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More resources
SequoiadbSplice MachineStardogVoltDB
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