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DBMS > Elasticsearch vs. Greenplum vs. GridGain vs. Machbase Neo vs. Microsoft Access

System Properties Comparison Elasticsearch vs. Greenplum vs. GridGain vs. Machbase Neo vs. Microsoft Access

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGreenplum  Xexclude from comparisonGridGain  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Access  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 IgniteTimeSeries DBMS for AIoT and BigDataMicrosoft 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.)
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Time Series 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
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.elastic.co/­elasticsearchgreenplum.orgwww.gridgain.commachbase.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.greenplum.orgwww.gridgain.com/­docs/­index.htmlmachbase.com/­dbmsdeveloper.microsoft.com/­en-us/­access
DeveloperElasticPivotal Software Inc.GridGain Systems, Inc.MachbaseMicrosoft
Initial release20102005200720131992
Current release8.6, January 20237.0.0, September 2023GridGain 8.5.1V8.0, August 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache 2.0commercialcommercial infofree test version availablecommercial infoBundled with Microsoft Office
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++, .NetCC++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesyes
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.noyes infosince Version 4.2yesno
Secondary indexesyes infoAll search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes infobut not compliant to any SQL standard
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
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
DAO
ODBC
OLE DB
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++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesyesyes (compute grid and cache interceptors can be used instead)noyes infosince Access 2010 using the ACE-engine
Triggersyes infoby using the 'percolation' featureyesyes (cache interceptors and events)noyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes (replicated cache)selectable replication factornone
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 Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationnoyesyes infovolatile and lookup table
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationssimple password-based access controlno infoa simple user-level security was built in till version Access 2003

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More resources
ElasticsearchGreenplumGridGainMachbase Neo infoFormer name was InfinifluxMicrosoft Access
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