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DBMS > GridGain vs. Memgraph

System Properties Comparison GridGain vs. Memgraph

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#118  Overall
#20  Key-value stores
#61  Relational DBMS
Score0.03
Rank#321  Overall
#30  Graph DBMS
Websitewww.gridgain.commemgraph.com
Technical documentationdocs.gridgain.com/­docsmemgraph.com/­docs
DeveloperGridGain Systems, Inc.Memgraph Ltd
Initial release20072017
Current releaseGridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes
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 indexesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Bolt protocol
Cypher query language
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)
Triggersyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissions

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More resources
GridGainMemgraph
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