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DBMS > Datomic vs. Google Cloud Datastore vs. Hypertable vs. Oracle Berkeley DB vs. TempoIQ

System Properties Comparison Datomic vs. Google Cloud Datastore vs. Hypertable vs. Oracle Berkeley DB vs. TempoIQ

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHypertable  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source BigTable implementation based on distributed file systems such as HadoopWidely used in-process key-value storeScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSDocument storeWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.datomic.comcloud.google.com/­datastorewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltempoiq.com (offline)
Technical documentationdocs.datomic.comcloud.google.com/­datastore/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectGoogleHypertable Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleTempoIQ
Initial release20122008200919942012
Current release1.0.6735, June 20230.9.8.11, March 201618.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license availableOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details herenonoyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnoSQL-like query language (GQL)noyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
C++ API
Thrift
HTTP API
Supported programming languagesClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Perl
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#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsusing Google App Enginenonono
TriggersBy using transaction functionsCallbacks using the Google Apps Enginenoyes infoonly for the SQL APIyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication using Paxosselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesnono
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
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nonosimple authentication-based access control

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More resources
DatomicGoogle Cloud DatastoreHypertableOracle Berkeley DBTempoIQ infoformerly TempoDB
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