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DBMS > Drizzle vs. Google Cloud Firestore vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

System Properties Comparison Drizzle vs. Google Cloud Firestore vs. IBM Db2 warehouse vs. TerminusDB vs. VelocityDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVelocityDB  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Cloud-based data warehousing serviceScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitefirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2/­warehouseterminusdb.comvelocitydb.com
Technical documentationfirebase.google.com/­docs/­firestoreterminusdb.github.io/­terminusdb/­#velocitydb.com/­UserGuide
DeveloperDrizzle project, originally started by Brian AkerGoogleIBMDataChemist Ltd.VelocityDB Inc
Initial release20082017201420182011
Current release7.2.4, September 201211.0.0, January 20237.x
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Prolog, RustC#
Server operating systemsFreeBSD
Linux
OS X
hostedhostedLinuxAny that supports .NET
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesSQL-like query language (WOQL)no
APIs and other access methodsJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
.Net
Supported programming languagesC
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Python
.Net
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsPL/SQL, SQL PLyesno
Triggersno infohooks for callbacks inside the server can be used.yes, with Cloud FunctionsyesyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardRole-based access controlBased on Windows Authentication

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More resources
DrizzleGoogle Cloud FirestoreIBM Db2 warehouse infoformerly named IBM dashDBTerminusDB infoformer name was DataChemistVelocityDB
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