DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Badger vs. Drizzle vs. GridGain vs. Memgraph

System Properties Comparison Badger vs. Drizzle vs. GridGain vs. Memgraph

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonMemgraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain 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 storeRelational DBMSKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#285  Overall
#45  Key-value stores
Score1.66
Rank#122  Overall
#21  Key-value stores
#59  Relational DBMS
Score0.05
Rank#306  Overall
#29  Graph DBMS
Websitegithub.com/­dgraph-io/­badgerwww.gridgain.commemgraph.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.gridgain.com/­docs/­latestdocs.memgraph.com
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerGridGain Systems, Inc.Memgraph Ltd
Initial release2017200820072017
Current release7.2.4, September 2012GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercialcommercial infoFree license available
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.
Implementation languageGoC++Java, C++, .NetC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-free and schema-optional
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
Supported programming languagesGoC
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)
Triggersnono infohooks for callbacks inside the server can be used.yes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
yes (replicated cache)Multi-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.noyesyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsUsers, roles and permissions

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
BadgerDrizzleGridGainMemgraph
DB-Engines blog posts

MySQL won the April ranking; did its forks follow?
1 April 2015, Paul Andlinger

Has MySQL finally lost its mojo?
1 July 2013, Matthias Gelbmann

show all

Recent citations in the news

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

provided by Google News

GridGain's Strong Market Momentum Continued in 2019
16 January 2020, GlobeNewswire

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

GridGain Systems Releases GridGain for z/OS, Expanding Its Market-Leading In-Memory Computing Solution to the Mainframe
7 November 2019, GlobeNewswire

GridGain: Product Overview and Analysis
5 June 2019, eWeek

GridGain In-Memory Computing Platform Continues Strong Momentum in First Half of 2019, Highlighted by a Doubling of Subscription Bookings
18 July 2019, GlobeNewswire

provided by Google News

FactGem and Memgraph Partner to Give Clients Access to Real-Time, Transaction Based Analytics
1 February 2019, PRNewswire

Life of a Distributed Graph Database Query
26 May 2019, InfoQ.com

Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases
19 September 2018, ZDNet

Meet A Founder Who Started A Successful Software Company Thirty Years Ago. In Croatia.
30 April 2019, Forbes

Global Graph database Market Outlook to 2023 – IBM, Microsoft, oracle, AWS, neo4j, tibco software, franz, cray, datastax, stardog, bitnine, objectivity, fluree, blazegraph, memgraph
6 February 2019, openPR

provided by Google News

Job opportunities

Senior Java Developer
Intercontinental Exchange, New York, NY

Contracts Manager
GridGain, Foster City, CA

Inside Sales Representative
GridGain, Foster City, CA

Staff Software Engineer
SS&C Advent, San Francisco, CA

Solution Architect - Data Services Middleware
Voya Financial, Windsor, CT

jobs by Indeed




Share this page

Featured Products

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Luna logo

Simple, subscription-based support for open source
Apache Cassandra™ from the Cassandra experts.
Learn more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

MariaDB logo

How do MariaDB, Oracle MySQL and EnterpriseDB compare?
Get the white paper to
learn more.

Present your product here