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DBMS > Elasticsearch vs. Fujitsu Enterprise Postgres vs. GridGain vs. SQream DB vs. Sqrrl

System Properties Comparison Elasticsearch vs. Fujitsu Enterprise Postgres vs. GridGain vs. SQream DB vs. Sqrrl

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGridGain  Xexclude from comparisonSQream DB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been 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 metricEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.GridGain is an in-memory computing platform, built on Apache Ignitea GPU-based, columnar RDBMS for big data analytics workloadsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
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
Score128.79
Rank#8  Overall
#1  Search engines
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitewww.elastic.co/­elasticsearchwww.postgresql.fastware.comwww.gridgain.comsqream.comsqrrl.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.fastware.com/­product-manualswww.gridgain.com/­docs/­index.htmldocs.sqream.com
DeveloperElasticPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGridGain Systems, Inc.SQream TechnologiesAmazon infooriginally Sqrrl Data, Inc.
Initial release2010200720172012
Current release8.6, January 2023Fujitsu Enterprise Postgres 14, January 2022GridGain 8.5.12022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoElastic Licensecommercialcommercial, open sourcecommercialcommercial
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 languageJavaCJava, C++, .Net, Python, REST, SQLC++, CUDA, Haskell, Java, ScalaJava
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Solaris
Windows
z/OS
LinuxLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Typesyes
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
Secondary indexesyes infoAll search fields are automatically indexedyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.Net
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesuser defined functionsyes (compute grid and cache interceptors can be used instead)user defined functions in Pythonno
Triggersyes infoby using the 'percolation' featureyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashShardinghorizontal and vertical partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes (replicated cache)noneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornoyes (compute grid and hadoop accelerator)noyes
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 ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.Memcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control
Security Hooks for custom implementations
Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
ElasticsearchFujitsu Enterprise PostgresGridGainSQream DBSqrrl
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