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DBMS > Google Cloud Bigtable vs. Graphite vs. Kdb vs. Realm vs. Trafodion

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. Kdb vs. Realm vs. Trafodion

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonKdb  Xexclude from comparisonRealm  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGoogle'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 WhisperHigh performance Time Series DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Wide column store
Time Series DBMSTime Series DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsRelational 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
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webkx.comrealm.iotrafodion.apache.org
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iocode.kx.comrealm.io/­docstrafodion.apache.org/­documentation.html
DeveloperGoogleChris DavisKx Systems, a division of First Derivatives plcRealm, acquired by MongoDB in May 2019Apache Software Foundation, originally developed by HP
Initial release201520062000 infokdb was released 2000, kdb+ in 200320142014
Current release3.6, May 20182.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree 32-bit versionOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonqC++, Java
Server operating systemshostedLinux
Unix
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesyes
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.nonoyesnono
Secondary indexesnonoyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnonoSQL-like query language (q)noyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonouser defined functionsno inforuns within the applications so server-side scripts are unnecessaryJava Stored Procedures
Triggersnonoyes infowith viewsyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infosimilar paradigm used for internal processingnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.noyesyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)norights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableGraphiteKdbRealmTrafodion
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Google Cloud BigtableGraphiteKdbRealmTrafodion
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