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DBMS > BaseX vs. Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Oracle Rdb

System Properties Comparison BaseX vs. Drizzle vs. Google Cloud Bigtable vs. Memgraph vs. Oracle Rdb

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemgraph  Xexclude from comparisonOracle Rdb  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.A hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scale
Primary database modelNative XML DBMSRelational DBMSWide column storeGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.44
Rank#131  Overall
#4  Native XML DBMS
Score2.36
Rank#101  Overall
#7  Wide column stores
Score0.06
Rank#315  Overall
#31  Graph DBMS
Score1.01
Rank#146  Overall
#71  Relational DBMS
Websitebasex.orgcloud.google.com/­bigtablememgraph.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationdocs.basex.orgcloud.google.com/­bigtable/­docsdocs.memgraph.com
DeveloperBaseX GmbHDrizzle project, originally started by Brian AkerGoogleMemgraph LtdOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20072008201520171984
Current release9.3.2, March 20207.2.4, September 20127.3.3.2.0, 2019
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU GPLcommercialcommercial infoFree license availablecommercial
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 and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinuxHP Open VMS
Data schemeschema-freeyesschema-freeschema-free and schema-optionalFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesnoyesyes
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 extensionsnonoyes
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)
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
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyes infovia eventsno infohooks for callbacks inside the server can be used.no
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
Internal replication in Colossus, and regional replication between two clusters in different zonesMulti-Master replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDAtomic single-row operationsACID infowith snapshot isolationyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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)Users, roles and permissions

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More resources
BaseXDrizzleGoogle Cloud BigtableMemgraphOracle Rdb
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