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DBMS > Apache Druid vs. Blazegraph vs. GeoMesa vs. SpatiaLite vs. Teradata Aster

System Properties Comparison Apache Druid vs. Blazegraph vs. GeoMesa vs. SpatiaLite vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBlazegraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Spatial extension of SQLitePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMS
RDF store
Spatial DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitedruid.apache.orgblazegraph.comwww.geomesa.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdruid.apache.org/­docs/­latest/­designwiki.blazegraph.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsBlazegraphCCRi and othersAlessandro FurieriTeradata
Initial release20122006201420082005
Current release29.0.1, April 20242.1.5, March 20195.0.0, May 20245.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoextended commercial license availableOpen Source infoApache License 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
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 languageJavaJavaScalaC++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
server-lessLinux
Data schemeyes infoschema-less columns are supportedschema-freeyesyesFlexible 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 dateyesyes infoRDF literal typesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSPARQL is used as query languagenoyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnonoR packages
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingdepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesdepending on storage layernoneyes 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 methodsnonoyesnoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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.nodepending on storage layeryesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity and Authentication via Web Application Container (Tomcat, Jetty)yes infodepending on the DBMS used for storagenofine grained access rights according to SQL-standard

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More resources
Apache DruidBlazegraphGeoMesaSpatiaLiteTeradata Aster
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