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DBMS > Google Cloud Bigtable vs. Graphite vs. IBM Db2 Event Store vs. Oracle Coherence vs. Rockset

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. IBM Db2 Event Store vs. Oracle Coherence vs. Rockset

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRockset  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 WhisperDistributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solutionA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelKey-value store
Wide column store
Time Series DBMSEvent Store
Time Series DBMS
Key-value storeDocument store
Secondary database modelsRelational DBMS
Search engine
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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherencerockset.com
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.rockset.com
DeveloperGoogleChris DavisIBMOracleRockset
Initial release20152006201720072019
Current release2.014.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC and C++JavaC++
Server operating systemshostedLinux
Unix
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMhosted
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoNumeric data onlyyesyesdynamic typing
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.nonononono infoingestion from XML files supported
Secondary indexesnonononoall fields are automatically indexed
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenoRead-only SQL queries, including JOINs
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Java
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesnono
Triggersnononoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneActive-active shard replicationyes, with selectable consistency levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationAccess rights for users and organizations can be defined via Rockset console

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More resources
Google Cloud BigtableGraphiteIBM Db2 Event StoreOracle CoherenceRockset
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