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DBMS > JaguarDB vs. MarkLogic vs. Spark SQL vs. StarRocks vs. Teradata Aster

System Properties Comparison JaguarDB vs. MarkLogic vs. Spark SQL vs. StarRocks vs. Teradata Aster

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsOperational and transactional Enterprise NoSQL databaseSpark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.jaguardb.comwww.progress.com/­marklogicspark.apache.org/­sqlwww.starrocks.io
Technical documentationwww.jaguardb.com/­support.htmlwww.progress.com/­marklogic/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperDataJaguar, Inc.MarkLogic Corp.Apache Software FoundationThe Linux Foundation infosince Feb 2023Teradata
Initial release20152001201420202005
Current release3.3 July 202311.0, December 20223.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++ScalaC++, Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
LinuxLinux
Data schemeyesschema-free infoSchema can be enforcedyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnonoyes infoin Aster File Store
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL92SQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBC
ODBC
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
JDBC
MySQL protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
JavaC
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnouser defined functionsR packages
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corehorizontal partitioning (by range and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes, with Range Indexesnonono
User concepts infoAccess controlrights management via user accountsRole-based access control at the document and subdocument levelsnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
JaguarDBMarkLogicSpark SQLStarRocksTeradata Aster
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