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DBMS > 4D vs. Firebolt vs. Google Cloud Datastore vs. InfinityDB vs. TimesTen

System Properties Comparison 4D vs. Firebolt vs. Google Cloud Datastore vs. InfinityDB vs. TimesTen

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFirebolt  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInfinityDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA Java embedded Key-Value Store which extends the Java Map interfaceIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.4d.comwww.firebolt.iocloud.google.com/­datastoreboilerbay.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdeveloper.4d.comdocs.firebolt.iocloud.google.com/­datastore/­docsboilerbay.com/­infinitydb/­manualdocs.oracle.com/­database/­timesten-18.1
Developer4D, IncFirebolt Analytics Inc.GoogleBoiler Bay Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19842020200820021998
Current releasev20, April 20234.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsOS X
Windows
hostedhostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.yesnonono
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL-like query language (GQL)noyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.Net
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
Go
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesnousing Google App EnginenoPL/SQL
TriggersyesnoCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationdepending on storage layerMulti-source replication using PaxosnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
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.Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsno infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
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)nofine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionFireboltGoogle Cloud DatastoreInfinityDBTimesTen
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