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DBMS > Elasticsearch vs. etcd vs. GridGain vs. H2 vs. Sqrrl

System Properties Comparison Elasticsearch vs. etcd vs. GridGain vs. H2 vs. Sqrrl

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonetcd  Xexclude from comparisonGridGain  Xexclude from comparisonH2  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 metricA distributed reliable key-value storeGridGain is an in-memory computing platform, built on Apache IgniteFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineKey-value storeKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websitewww.elastic.co/­elasticsearchetcd.io
github.com/­etcd-io/­etcd
www.gridgain.comwww.h2database.comsqrrl.com
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.gridgain.com/­docs/­index.htmlwww.h2database.com/­html/­main.html
DeveloperElasticGridGain Systems, Inc.Thomas MuellerAmazon infooriginally Sqrrl Data, Inc.
Initial release2010200720052012
Current release8.6, January 20233.4, August 2019GridGain 8.5.12.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2.0commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
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 languageJavaGoJava, C++, .NetJavaJava
Server operating systemsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesyes infoAll search fields are automatically indexednoyesyesyes
SQL infoSupport of SQLSQL-like query languagenoANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC
JSON over HTTP
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
JavaActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesnoyes (compute grid and cache interceptors can be used instead)Java Stored Procedures and User-Defined Functionsno
Triggersyes infoby using the 'percolation' featureyes, watching key changesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes (replicated cache)With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable 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 integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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 integrationnoyesyes
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
ElasticsearchetcdGridGainH2Sqrrl
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