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DBMS > BaseX vs. Drizzle vs. Google Cloud Bigtable vs. GridDB vs. Memgraph

System Properties Comparison BaseX vs. Drizzle vs. Google Cloud Bigtable vs. GridDB vs. Memgraph

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridDB  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.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable in-memory time series database optimized for IoT and Big DataAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelNative XML DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMSGraph DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websitebasex.orgcloud.google.com/­bigtablegriddb.netmemgraph.com
Technical documentationdocs.basex.orgcloud.google.com/­bigtable/­docsdocs.griddb.netmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperBaseX GmbHDrizzle project, originally started by Brian AkerGoogleToshiba CorporationMemgraph Ltd
Initial release20072008201520132017
Current release10.7, August 20237.2.4, September 20125.1, August 2022
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU GPLcommercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinuxLinux
Data schemeschema-freeyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesnoyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoSQL92, SQL-like TQL (Toshiba Query Language)no
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersyes infovia eventsno infohooks for callbacks inside the server can be used.noyes
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
Internal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDAtomic single-row operationsACID at container levelACID 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 controlUsers with fine-grained authorization concept on 4 levelsPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseUsers, roles and permissions
More information provided by the system vendor
BaseXDrizzleGoogle Cloud BigtableGridDBMemgraph
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
You can check out our pricing model and licenses on the company website .
» more

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More resources
BaseXDrizzleGoogle Cloud BigtableGridDBMemgraph
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