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DBMS > Elasticsearch vs. Hazelcast vs. Teradata Aster vs. TerminusDB

System Properties Comparison Elasticsearch vs. Hazelcast vs. Teradata Aster vs. TerminusDB

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonHazelcast  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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 widely adopted in-memory data gridPlatform for big data analytics on multistructured data sources and typesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelSearch engineKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store infoJSON support with IMDG 3.12Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.elastic.co/­elasticsearchhazelcast.comterminusdb.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhazelcast.org/­imdg/­docsterminusdb.github.io/­terminusdb/­#
DeveloperElasticHazelcastTeradataDataChemist Ltd.
Initial release2010200820052018
Current release8.6, January 20235.3.6, November 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoGPL V3
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 languageJavaJavaProlog, Rust
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.noyes infothe object must implement a serialization strategyyes infoin Aster File Storeno
Secondary indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesSQL-like query language (WOQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Python
R
JavaScript
Python
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor ServicesR packagesyes
Triggersyes infoby using the 'percolation' featureyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesyes infoSQL Map-Reduce Frameworkno
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 Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardRole-based access control

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More resources
ElasticsearchHazelcastTeradata AsterTerminusDB infoformer name was DataChemist
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