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DBMS > Datomic vs. Google Search Appliance vs. Interbase vs. Percona Server for MySQL vs. RavenDB

System Properties Comparison Datomic vs. Google Search Appliance vs. Interbase vs. Percona Server for MySQL vs. RavenDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonInterbase  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Light-weight proven RDBMS infooriginally from BorlandEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.98
Rank#111  Overall
#53  Relational DBMS
Score2.62
Rank#95  Overall
#11  Search engines
Score6.46
Rank#53  Overall
#30  Relational DBMS
Score2.19
Rank#105  Overall
#50  Relational DBMS
Score3.46
Rank#81  Overall
#14  Document stores
Websitewww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlwww.embarcadero.com/­products/­interbasewww.percona.com/­software/­mysql-database/­percona-serverravendb.net
Technical documentationdocs.datomic.comsupport.google.com/­gsadocs.embarcadero.com/­products/­interbasewww.percona.com/­downloads/­Percona-Server-LATESTravendb.net/­docs
DeveloperCognitectGoogleEmbarcaderoPerconaHibernating Rhinos
Initial release20122002198420082010
Current release0.9.5951, July 2019InterBase 2017, March 20178.0.18-9, December 20194.2, May 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoGPL version 2Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCC and C++C#
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono infoexport as XML data possibleyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnonoyesyesSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoInterbase procedure and trigger languageyesyes
TriggersBy using transaction functionsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-slave replicationInterbase Change ViewsMaster-master replication
Master-slave replication
XtraDB Cluster
Multi-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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 developmentnoyesyes
User concepts infoAccess controlnoUser authentication via various security protocolsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesAccess control on document level using the Authorization Bundle

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More resources
DatomicGoogle Search ApplianceInterbasePercona Server for MySQLRavenDB
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