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DBMS > 4D vs. Google Cloud Datastore vs. Hawkular Metrics vs. STSdb vs. Teradata

System Properties Comparison 4D vs. Google Cloud Datastore vs. Hawkular Metrics vs. STSdb vs. Teradata

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSTSdb  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSDocument storeTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.4d.comcloud.google.com/­datastorewww.hawkular.orggithub.com/­STSSoft/­STSdb4www.teradata.com
Technical documentationdeveloper.4d.comcloud.google.com/­datastore/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.teradata.com
Developer4D, IncGoogleCommunity supported by Red HatSTS Soft SCTeradata
Initial release19842008201420111984
Current releasev20, April 20234.0.8, September 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#
Server operating systemsOS X
Windows
hostedLinux
OS X
Windows
Windowshosted
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyes infoprimitive types and user defined types (classes)yes
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.yesnonoyes
Secondary indexesyesyesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query language (GQL)nonoyes infoSQL 2016 + extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST.NET Client API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
Python
Ruby
C#
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesusing Google App Enginenonoyes infoUDFs, stored procedures, table functions in parallel
TriggersyesCallbacks using the Google Apps Engineyes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandranoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication using Paxosselectable replication factor infobased on CassandranoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnonoACID
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.nononoyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonofine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionGoogle Cloud DatastoreHawkular MetricsSTSdbTeradata
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