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DBMS > atoti vs. Elasticsearch vs. Firebird vs. Google Cloud Firestore vs. Sqrrl

System Properties Comparison atoti vs. Elasticsearch vs. Firebird vs. Google Cloud Firestore vs. Sqrrl

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonElasticsearch  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricFirebird is an open source RDBMS forked from Borland's InterBaseCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelObject oriented DBMSSearch engineRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Websiteatoti.iowww.elastic.co/­elasticsearchwww.firebirdsql.orgfirebase.google.com/­products/­firestoresqrrl.com
Technical documentationdocs.atoti.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.firebirdsql.org/­en/­reference-manualsfirebase.google.com/­docs/­firestore
DeveloperActiveViamElasticFirebird FoundationGoogleAmazon infooriginally Sqrrl Data, Inc.
Initial release20102000 infoAs fork of Borland's InterBase20172012
Current release8.6, January 20235.0.0, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoElastic LicenseOpen Source infoInitial Developer's Public Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Java
Server operating systemsAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageyesnono
APIs and other access methodsJava API
RESTful HTTP/JSON API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresPythonyesPSQLyes, Firebase Rules & Cloud Functionsno
Triggersyes infoby using the 'percolation' featureyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop ConnectornoUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yesMemcached and Redis integration
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
atotiElasticsearchFirebirdGoogle Cloud FirestoreSqrrl
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