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DBMS > Google Cloud Bigtable vs. Graphite vs. HugeGraph vs. IBM Db2 warehouse vs. Sequoiadb

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. HugeGraph vs. IBM Db2 warehouse vs. Sequoiadb

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHugeGraph  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSequoiadb  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA fast-speed and highly-scalable Graph DBMSCloud-based data warehousing serviceNewSQL database with distributed OLTP and SQL
Primary database modelKey-value store
Wide column store
Time Series DBMSGraph DBMSRelational DBMSDocument store
Relational 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
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webgithub.com/­hugegraph
hugegraph.apache.org
www.ibm.com/­products/­db2/­warehousewww.sequoiadb.com
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iohugegraph.apache.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGoogleChris DavisBaiduIBMSequoiadb Ltd.
Initial release20152006201820142013
Current release0.9
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC++
Server operating systemshostedLinux
Unix
Linux
macOS
Unix
hostedLinux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesyes infooid, date, timestamp, binary, regex
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 infoImport/export of XML data possibleno
Secondary indexesnonoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnononoyesSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Java API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Groovy
Java
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsPL/SQL, SQL PLJavaScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
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.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers, roles and permissionsfine grained access rights according to SQL-standardsimple password-based access control

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More resources
Google Cloud BigtableGraphiteHugeGraphIBM Db2 warehouse infoformerly named IBM dashDBSequoiadb
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