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DBMS > Drizzle vs. Google Cloud Bigtable vs. Oracle Rdb vs. RRDtool vs. Sequoiadb

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Oracle Rdb vs. RRDtool vs. Sequoiadb

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRRDtool  Xexclude from comparisonSequoiadb  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.NewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score1.08
Rank#187  Overall
#85  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitecloud.google.com/­bigtablewww.oracle.com/­database/­technologies/­related/­rdb.htmloss.oetiker.ch/­rrdtoolwww.sequoiadb.com
Technical documentationcloud.google.com/­bigtable/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmloss.oetiker.ch/­rrdtool/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDrizzle project, originally started by Brian AkerGoogleOracle, originally developed by Digital Equipment Corporation (DEC)Tobias OetikerSequoiadb Ltd.
Initial release20082015198419992013
Current release7.2.4, September 20127.4.1.1, 20211.8.0, 2022
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoGPL V2 and FLOSSOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsFreeBSD
Linux
OS X
hostedHP Open VMSHP-UX
Linux
Linux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes infooid, date, timestamp, binary, regex
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyesnoSQL-like query language
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
in-process shared library
Pipes
proprietary protocol using JSON
Supported programming languagesC
C++
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnononoJavaScript
Triggersno infohooks for callbacks inside the server can be used.nonono
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
Internal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsyes, on a single nodenoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nosimple password-based access control

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More resources
DrizzleGoogle Cloud BigtableOracle RdbRRDtoolSequoiadb
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