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DBMS > Elasticsearch vs. Graph Engine vs. Splice Machine vs. Teradata Aster

System Properties Comparison Elasticsearch vs. Graph Engine vs. Splice Machine vs. Teradata Aster

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSplice Machine  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.
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPlatform for big data analytics on multistructured data sources and types
Primary database modelSearch engineGraph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.graphengine.iosplicemachine.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualsplicemachine.com/­how-it-works
DeveloperElasticMicrosoftSplice MachineTeradata
Initial release2010201020142005
Current release8.6, January 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoMIT LicenseOpen Source infoAGPL 3.0, commercial license 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 languageJava.NET and CJava
Server operating systemsAll OS with a Java VM.NETLinux
OS X
Solaris
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesFlexible 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 dateyesyesyesyes
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.nonoyes infoin Aster File Store
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesyesyes infoJavaR packages
Triggersyes infoby using the 'percolation' featurenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes 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 methodsES-Hadoop ConnectorYes, via Full Spark Integrationyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
ElasticsearchGraph Engine infoformer name: TrinitySplice MachineTeradata Aster
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