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DBMS > Blueflood vs. Google Cloud Datastore vs. Oracle Berkeley DB vs. TimesTen

System Properties Comparison Blueflood vs. Google Cloud Datastore vs. Oracle Berkeley DB vs. TimesTen

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWidely used in-process key-value storeIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteblueflood.iocloud.google.com/­datastorewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicloud.google.com/­datastore/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperRackspaceGoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2013200819941998
Current release18.1.40, May 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemepredefined schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details herenoyes
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.nonoyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yes infoSQL interfaced based on SQLite is availableyes
APIs and other access methodsHTTP RESTgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnousing Google App EnginenoPL/SQL
TriggersnoCallbacks using the Google Apps Engineyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication using PaxosSource-replica replicationMulti-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 systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyesyes
User concepts infoAccess controlnoAccess 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
BluefloodGoogle Cloud DatastoreOracle Berkeley DBTimesTen
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