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DBMS > FeatureBase vs. GeoMesa vs. MarkLogic vs. Sadas Engine vs. Teradata Aster

System Properties Comparison FeatureBase vs. GeoMesa vs. MarkLogic vs. Sadas Engine vs. Teradata Aster

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGeoMesa  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  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.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Operational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSSpatial DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#158  Relational DBMS
Websitewww.featurebase.comwww.geomesa.orgwww.marklogic.comwww.sadasengine.com
Technical documentationdocs.featurebase.comwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperMolecula and Pilosa Open Source ContributorsCCRi and othersMarkLogic Corp.SADAS s.r.l.Teradata
Initial release20172014200120062005
Current release2022, May 20224.0.5, February 202411.0, December 20228.0
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercial inforestricted free version is availablecommercial infofree trial version availablecommercial
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 languageGoScalaC++C++
Server operating systemsLinux
macOS
Linux
OS X
Windows
AIX
Linux
Windows
Linux
Data schemeyesyesschema-free infoSchema can be enforcedyesFlexible 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.nonoyesnoyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesnoyes infoSQL92yesyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
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
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJava
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoR packages
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layeryesnoneyes 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 methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes, with Range Indexesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FeatureBaseGeoMesaMarkLogicSadas EngineTeradata Aster
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