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DBMS > Google Cloud Bigtable vs. Quasardb vs. TimesTen

System Properties Comparison Google Cloud Bigtable vs. Quasardb vs. TimesTen

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonQuasardb  Xexclude from comparisonTimesTen  Xexclude from comparison
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 databaseIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#90  Overall
#7  Wide column stores
Score0.16
Rank#281  Overall
#23  Time Series DBMS
Score2.38
Rank#108  Overall
#51  Relational DBMS
Websitecloud.google.com/­bigtablewww.quasardb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­bigtable/­docsdoc.quasardb.netdocs.oracle.com/­database/­timesten-18.1
DeveloperGooglequasardbOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201520091998
Current release3.1, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes infointeger and binaryyes
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
Secondary indexesnoyes infowith tagsyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMaster-slave replication with selectable replication factorMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes
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 trailfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableQuasardbTimesTen
Specific characteristicsHigh-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesHigh performance in a cost-effective small package Real-time results for even large...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosTick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersLarge EU investment banks US based hedge funds Orolia Tellmeplus
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsHas been running in very demanding production environments since 2013 Rapid adoption...
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsCommunity edition limited to 2 nodes and 16 GiB of storage per node available for...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud BigtableQuasardbTimesTen
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