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DBMS > atoti vs. Firebird vs. Google Cloud Datastore vs. searchxml vs. Typesense

System Properties Comparison atoti vs. Firebird vs. Google Cloud Datastore vs. searchxml vs. Typesense

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonsearchxml  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Firebird is an open source RDBMS forked from Borland's InterBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDBMS for structured and unstructured content wrapped with an application serverA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelObject oriented DBMSRelational DBMSDocument storeNative XML DBMS
Search engine
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websiteatoti.iowww.firebirdsql.orgcloud.google.com/­datastorewww.searchxml.net/­category/­productstypesense.org
Technical documentationdocs.atoti.iowww.firebirdsql.org/­en/­reference-manualscloud.google.com/­datastore/­docswww.searchxml.net/­support/­handoutstypesense.org/­docs
DeveloperActiveViamFirebird FoundationGoogleinformationpartners gmbh
Initial release2000 infoAs fork of Borland's InterBase200820152015
Current release5.0.0, January 20241.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoInitial Developer's Public LicensecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedWindowsLinux
Data schemeyesschema-freeschema-freeschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes, details hereyesyes
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)yesSQL-like query language (GQL)nono
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
RESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresPythonPSQLusing Google App Engineyes infoon the application serverno
TriggersyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes infosychronisation to multiple collectionsMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integrityyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application services

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More resources
atotiFirebirdGoogle Cloud DatastoresearchxmlTypesense
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