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DBMS > Blazegraph vs. Coveo vs. EsgynDB vs. Geode vs. Splice Machine

System Properties Comparison Blazegraph vs. Coveo vs. EsgynDB vs. Geode vs. Splice Machine

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCoveo  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonSplice Machine  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Search engineRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score2.28
Rank#114  Overall
#11  Search engines
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteblazegraph.comwww.coveo.comwww.esgyn.cngeode.apache.orgsplicemachine.com
Technical documentationwiki.blazegraph.comdocs.coveo.comgeode.apache.org/­docssplicemachine.com/­how-it-works
DeveloperBlazegraphCoveoEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Splice Machine
Initial release20062012201520022014
Current release2.1.5, March 20191.1, February 20173.1, March 2021
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJavaJava
Server operating systemsLinux
OS X
Windows
hostedLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyesyes
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.nonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-like query language (OQL)yes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP APIADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresuser defined functionsyes infoJava
Triggersnoyesnoyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication between multi datacentersMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)granular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights per client and object definableAccess rights for users, groups and roles according to SQL-standard

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More resources
BlazegraphCoveoEsgynDBGeodeSplice Machine
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