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DBMS > Drizzle vs. Google Cloud Bigtable vs. Graphite vs. JanusGraph vs. Oracle Rdb

System Properties Comparison Drizzle vs. Google Cloud Bigtable vs. Graphite vs. JanusGraph vs. Oracle Rdb

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonJanusGraph infosuccessor of Titan  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.
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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webjanusgraph.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.janusgraph.orgwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDrizzle project, originally started by Brian AkerGoogleChris DavisLinux Foundation; originally developed as Titan by AureliusOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20082015200620171984
Current release7.2.4, September 20120.6.3, February 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonJava
Server operating systemsFreeBSD
Linux
OS X
hostedLinux
Unix
Linux
OS X
Unix
Windows
HP Open VMS
Data schemeyesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyesyes
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.nononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnononoyes
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C++
Java
PHP
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresnononoyes
Triggersno infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
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 zonesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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)noUser authentification and security via Rexster Graph Server

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More resources
DrizzleGoogle Cloud BigtableGraphiteJanusGraph infosuccessor of TitanOracle Rdb
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