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DBMS > Google Cloud Bigtable vs. Postgres-XL vs. Realm vs. Teradata Aster

System Properties Comparison Google Cloud Bigtable vs. Postgres-XL vs. Realm vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRealm  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be 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.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Wide column store
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitecloud.google.com/­bigtablewww.postgres-xl.orgrealm.io
Technical documentationcloud.google.com/­bigtable/­docswww.postgres-xl.org/­documentationrealm.io/­docs
DeveloperGoogleRealm, acquired by MongoDB in May 2019Teradata
Initial release20152014 infosince 2012, originally named StormDB20142005
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licenseOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemshostedLinux
macOS
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infoXML type, but no XML query functionalitynoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionnoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnouser defined functionsno inforuns within the applications so server-side scripts are unnecessaryR packages
Triggersnoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Framework
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
Google Cloud BigtablePostgres-XLRealmTeradata Aster
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