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DBMS > HyperSQL vs. Manticore Search vs. MarkLogic vs. Teradata Aster

System Properties Comparison HyperSQL vs. Manticore Search vs. MarkLogic vs. Teradata Aster

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMarkLogic  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.
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBMulti-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databasePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitehsqldb.orgmanticoresearch.comwww.progress.com/­marklogic
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlmanual.manticoresearch.comwww.progress.com/­marklogic/­documentation
DeveloperManticore SoftwareMarkLogic Corp.Teradata
Initial release2001201720012005
Current release2.7.2, June 20236.0, February 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoGPL version 2commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeyesFixed schemaschema-free infoSchema can be enforcedFlexible 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 dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLyesyes infoin Aster File Store
Secondary indexesyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infoSQL92yes
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC
Java
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresJava, SQLuser defined functionsyes infovia XQuery or JavaScriptR packages
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyesyes 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 methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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More resources
HyperSQL infoalso known as HSQLDBManticore SearchMarkLogicTeradata Aster
Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024

Recent citations in the news

HyperSQL DataBase flaw leaves library vulnerable to RCE
24 October 2022, The Daily Swig

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