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DBMS > GridGain vs. Memgraph vs. OpenSearch vs. SurrealDB

System Properties Comparison GridGain vs. Memgraph vs. OpenSearch vs. SurrealDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMemgraph  Xexclude from comparisonOpenSearch  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source graph database built for real-time streaming and compatible with Neo4jA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.91
Rank#94  Overall
#7  Graph DBMS
Score16.31
Rank#36  Overall
#4  Search engines
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitewww.gridgain.commemgraph.comgithub.com/­opensearch-project
opensearch.org
surrealdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmlmemgraph.com/­docsopensearch.org/­docs/­latestsurrealdb.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGridGain Systems, Inc.Memgraph LtdAmazon Web ServicesSurrealDB Ltd
Initial release2007201720212022
Current releaseGridGain 8.5.12.5.0, January 2023v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache Version 2.0Open Source
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.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJava, C++, .Net, Python, REST, SQLC and C++JavaRust
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
LinuxAll OS with a Java VMLinux
macOS
Windows
Data schemeyesschema-free and schema-optionalschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
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.yesno
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
Java API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes
Triggersyes (cache interceptors and events)yes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication using RAFTyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Users, roles and permissionsyes, based on authentication and database rules
More information provided by the system vendor
GridGainMemgraphOpenSearchSurrealDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more

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GridGainMemgraphOpenSearchSurrealDB
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