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DBMS > Drizzle vs. Google Cloud Firestore vs. H2 vs. Hypertable

System Properties Comparison Drizzle vs. Google Cloud Firestore vs. H2 vs. Hypertable

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonHypertable  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.Hypertable has stopped its further development with March 2016 and is removed 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSDocument storeRelational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.h2database.com
Technical documentationfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.html
DeveloperDrizzle project, originally started by Brian AkerGoogleThomas MuellerHypertable Inc.
Initial release2008201720052009
Current release7.2.4, September 20122.2.220, July 20230.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
hostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesno
APIs and other access methodsJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
C++ API
Thrift
Supported programming languagesC
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsno
Triggersno infohooks for callbacks inside the server can be used.yes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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-standardno

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More resources
DrizzleGoogle Cloud FirestoreH2Hypertable
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