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DBMS > Google Cloud Bigtable vs. Quasardb vs. Splunk vs. Trafodion

System Properties Comparison Google Cloud Bigtable vs. Quasardb vs. Splunk vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonQuasardb  Xexclude from comparisonSplunk  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.Distributed, high-performance timeseries databaseAnalytics Platform for Big DataTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Wide column store
Time Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitecloud.google.com/­bigtablequasar.aiwww.splunk.comtrafodion.apache.org
Technical documentationcloud.google.com/­bigtable/­docsdoc.quasar.ai/­masterdocs.splunk.com/­Documentation/­Splunktrafodion.apache.org/­documentation.html
DeveloperGooglequasardbSplunk Inc.Apache Software Foundation, originally developed by HP
Initial release2015200920032014
Current release3.14.1, January 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited free edition and free developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infointeger and binaryyesyes
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.nonoyesno
Secondary indexesnoyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like query languageno infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP APIHTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication with selectable replication factorMulti-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationyesyes 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)Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cryptographically strong user authentication and audit trailAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtableQuasardbSplunkTrafodion
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