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DBMS > Google Cloud Bigtable vs. Google Cloud Datastore vs. Sadas Engine vs. SAP IQ vs. SpaceTime

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Datastore vs. Sadas Engine vs. SAP IQ vs. SpaceTime

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSadas Engine  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSpaceTime  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsColumnar RDBMS optimized for Big Data analyticsSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelKey-value store
Wide column store
Document storeRelational DBMSRelational DBMS infocolumn-orientedSpatial DBMS
Secondary database modelsRelational 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
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Websitecloud.google.com/­bigtablecloud.google.com/­datastorewww.sadasengine.comwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlwww.mireo.com/­spacetime
Technical documentationcloud.google.com/­bigtable/­docscloud.google.com/­datastore/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationhelp.sap.com/­docs/­SAP_IQ
DeveloperGoogleGoogleSADAS s.r.l.SAP, formerly SybaseMireo
Initial release20152008200619942020
Current release8.016.1 SPS04, April 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree trial version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedhostedAIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyes, details hereyesyesyes
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
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query language (GQL)yesyesA subset of ANSI SQL is implemented
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Java
Perl
PHP
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresnousing Google App Enginenoyesno
TriggersnoCallbacks using the Google Apps Enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningshared disk or shared nothing architectures with SAP IQ MultiplexerFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication using PaxosnoneSAP/Sybase Replication ServerReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud DataflownoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes infomanaged by 'Learn by Usage'nono
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 roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
Google Cloud BigtableGoogle Cloud DatastoreSadas EngineSAP IQ infoformer name: Sybase IQSpaceTime
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