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DBMS > Blazegraph vs. Manticore Search vs. Sequoiadb vs. Spark SQL vs. Transbase

System Properties Comparison Blazegraph vs. Manticore Search vs. Sequoiadb vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonManticore Search  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  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.Multi-storage database for search, including full-text search.NewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMS
RDF store
Search engineDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#222  Overall
#20  Graph DBMS
#8  RDF stores
Score0.26
Rank#312  Overall
#21  Search engines
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Score0.20
Rank#327  Overall
#144  Relational DBMS
Websiteblazegraph.commanticoresearch.comwww.sequoiadb.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationwiki.blazegraph.commanual.manticoresearch.comwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperBlazegraphManticore SoftwareSequoiadb Ltd.Apache Software FoundationTransaction Software GmbH
Initial release20062017201320141987
Current release2.1.5, March 20196.0, February 20233.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoGPL version 2Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++ScalaC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeFixed schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infooid, date, timestamp, binary, regexyesyes
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.Can index from XMLnonono
Secondary indexesyesyes infofull-text index on all search fieldsyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
proprietary protocol using JSONJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsJavaScriptnoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesDocument is locked during a transactionnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)nosimple password-based access controlnofine grained access rights according to SQL-standard

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More resources
BlazegraphManticore SearchSequoiadbSpark SQLTransbase
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