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DBMS > Google Cloud Bigtable vs. InterSystems Caché vs. Teradata Aster vs. TerminusDB

System Properties Comparison Google Cloud Bigtable vs. InterSystems Caché vs. Teradata Aster vs. TerminusDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.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.A multi-model DBMS and application serverPlatform for big data analytics on multistructured data sources and typesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Wide column store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument storeDocument store
RDF store
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
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitecloud.google.com/­bigtablewww.intersystems.com/­products/­cacheterminusdb.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.intersystems.comterminusdb.github.io/­terminusdb/­#
DeveloperGoogleInterSystemsTeradataDataChemist Ltd.
Initial release2015199720052018
Current release2018.1.4, May 202011.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3
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 languageProlog, Rust
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freedepending on used data modelFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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.noyesyes infoin Aster File Storeno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesyesSQL-like query language (WOQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
C
C#
C++
Java
Python
R
JavaScript
Python
Server-side scripts infoStored proceduresnoyesR packagesyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoSQL Map-Reduce Frameworkno
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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardRole-based access control

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More resources
Google Cloud BigtableInterSystems CachéTeradata AsterTerminusDB infoformer name was DataChemist
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