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

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

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDrizzle  Xexclude from comparisonGreptimeDB  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencyGridGain is an in-memory computing platform, built on Apache IgniteAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelKey-value storeRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websitegithub.com/­dgraph-io/­badgergreptime.comwww.gridgain.commemgraph.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.greptime.comwww.gridgain.com/­docs/­index.htmlmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDGraph LabsDrizzle project, originally started by Brian AkerGreptime Inc.GridGain Systems, Inc.Memgraph Ltd
Initial release20172008202220072017
Current release7.2.4, September 2012GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLOpen Source infoApache Version 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++RustJava, C++, .NetC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-free, schema definition possibleyesschema-free and schema-optional
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyesANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsJDBCgRPC
HTTP API
JDBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
Supported programming languagesGoC
C++
Java
PHP
C++
Erlang
Go
Java
JavaScript
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoPythonyes (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 nodesnoneShardingShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yes (replicated cache)Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate 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 datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes 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, HTTPSimple rights management via user accountsSecurity Hooks for custom implementationsUsers, roles and permissions
More information provided by the system vendor
BadgerDrizzleGreptimeDBGridGainMemgraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
BadgerDrizzleGreptimeDBGridGainMemgraph
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