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DBMS > Elasticsearch vs. Greenplum vs. GridGain vs. Microsoft Access vs. SQream DB

System Properties Comparison Elasticsearch vs. Greenplum vs. GridGain vs. Microsoft Access vs. SQream DB

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSQream DB  Xexclude from comparison
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 metricAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.GridGain is an in-memory computing platform, built on Apache IgniteMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.elastic.co/­elasticsearchgreenplum.orgwww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accesssqream.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.greenplum.orgwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessdocs.sqream.com
DeveloperElasticPivotal Software Inc.GridGain Systems, Inc.MicrosoftSQream Technologies
Initial release20102005200719922017
Current release8.6, January 20237.0.0, September 2023GridGain 8.5.11902 (16.0.11328.20222), March 20192022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Officecommercial
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 languageJavaJava, C++, .NetC++C++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes, ANSI Standard SQL Types
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 infosince Version 4.2yes
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardyes
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineuser defined functions in Python
Triggersyes infoby using the 'percolation' featureyesyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectoryesyes (compute grid and hadoop accelerator)nono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003

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More resources
ElasticsearchGreenplumGridGainMicrosoft AccessSQream DB
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