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DBMS > Google Cloud Bigtable vs. Hypertable vs. Kdb vs. XTDB

System Properties Comparison Google Cloud Bigtable vs. Hypertable vs. Kdb vs. XTDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonHypertable  Xexclude from comparisonKdb  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed 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.An open source BigTable implementation based on distributed file systems such as HadoopHigh performance Time Series DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Wide column store
Wide column storeTime Series DBMS
Vector DBMS
Document store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitecloud.google.com/­bigtablekx.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcloud.google.com/­bigtable/­docscode.kx.comwww.xtdb.com/­docs
DeveloperGoogleHypertable Inc.Kx Systems, a division of First Derivatives plcJuxt Ltd.
Initial release201520092000 infokdb was released 2000, kdb+ in 20032019
Current release0.9.8.11, March 20163.6, May 20181.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infofree 32-bit versionOpen Source infoMIT License
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++qClojure
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyes, extensible-data-notation format
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)limited SQL, making use of Apache Calcite
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
C++ API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor on file system levelSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infosimilar paradigm used for internal processingno
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
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)norights management via user accounts
More information provided by the system vendor
Google Cloud BigtableHypertableKdbXTDB infoformerly named Crux
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 BigtableHypertableKdbXTDB infoformerly named Crux
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