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DBMS > Google Cloud Datastore vs. MySQL vs. Raima Database Manager vs. SAP Adaptive Server vs. Teradata

System Properties Comparison Google Cloud Datastore vs. MySQL vs. Raima Database Manager vs. SAP Adaptive Server vs. Teradata

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMySQL  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used open source RDBMSRDBMS with a small footprint, either embedded into an application or used as a database serverThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS infowith Boeing's Spatial Query ServerDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitecloud.google.com/­datastorewww.mysql.comraima.comwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.teradata.com
Technical documentationcloud.google.com/­datastore/­docsdev.mysql.com/­docdocs.raima.comhelp.sap.com/­docs/­SAP_ASEdocs.teradata.com
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunRaima Inc.SAP, SybaseTeradata
Initial release20081995198419871984
Current release8.4.0, April 202415, June 202116.0Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++CC and C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
hosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.noyesno infoExporting/Importing of XML structures possiblenoyes
Secondary indexesyesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (GQL)yes infowith proprietary extensionsyesyesyes infoSQL 2016 + extensions
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Objective-C
PL/SQL
C
C++
Cobol
Java
Java
Perl
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresusing Google App Engineyes infoproprietary syntaxyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationJava and Transact-SQLyes infoUDFs, stored procedures, table functions in parallel
TriggersCallbacks using the Google Apps Engineyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioninghorizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyes infonot for MyISAM storage engineyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infonot for MyISAM storage engineACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)yesyes
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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreMySQLRaima Database Manager infoformerly named db_VistaSAP Adaptive Server infoformer name: Sybase ASETeradata
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud DatastoreMySQLRaima Database Manager infoformerly named db_VistaSAP Adaptive Server infoformer name: Sybase ASETeradata
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