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DBMS > Google Cloud Bigtable vs. Graphite vs. IRONdb vs. PostgreSQL vs. Splice Machine

System Properties Comparison Google Cloud Bigtable vs. Graphite vs. IRONdb vs. PostgreSQL vs. Splice Machine

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonIRONdb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
IRONdb seems to be discontinued. 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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Wide column store
Time Series DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score4.84
Rank#79  Overall
#5  Time Series DBMS
Score634.91
Rank#4  Overall
#4  Relational DBMS
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitecloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.circonus.com/solutions/time-series-database/www.postgresql.orgsplicemachine.com
Technical documentationcloud.google.com/­bigtable/­docsgraphite.readthedocs.iodocs.circonus.com/irondb/category/getting-startedwww.postgresql.org/­docssplicemachine.com/­how-it-works
DeveloperGoogleChris DavisCirconus LLC.PostgreSQL Global Development Group infowww.postgresql.org/­developerSplice Machine
Initial release2015200620171989 info1989: Postgres, 1996: PostgreSQL2014
Current releaseV0.10.20, January 201816.2, February 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++CJava
Server operating systemshostedLinux
Unix
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoNumeric data onlyyes infotext, numeric, histogramsyesyes
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.nononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnononoyesyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infostandard with numerous extensionsyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes, in Luauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoJava
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodepartitioning by range, list and (since PostgreSQL 11) by hashShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneconfigurable replication factor, datacenter awareSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes, multi-version concurrency control (MVCC)
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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonofine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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