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DBMS > Dolt vs. Firebase Realtime Database vs. Ignite vs. InfinityDB

System Properties Comparison Dolt vs. Firebase Realtime Database vs. Ignite vs. InfinityDB

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Java embedded Key-Value Store which extends the Java Map interface
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
firebase.google.com/­products/­realtime-databaseignite.apache.orgboilerbay.com
Technical documentationdocs.dolthub.comfirebase.google.com/­docs/­databaseapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manual
DeveloperDoltHub IncGoogle infoacquired by Google 2014Apache Software FoundationBoiler Bay Inc.
Initial release2018201220152002
Current releaseApache Ignite 2.64.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
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 languageGoC++, Java, .NetJava
Server operating systemsLinux
macOS
Windows
hostedLinux
OS X
Solaris
Windows
All OS with a Java VM
Data schemeyesschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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.nonoyesno
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsCLI Client
HTTP REST
Android
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
JavaScript
Objective-C
C#
C++
Java
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresyes infocurrently in alpha releaselimited functionality with using 'rules'yes (compute grid and cache interceptors can be used instead)no
TriggersyesCallbacks are triggered when data changesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integrityyesnonono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infoOptimistic locking for transactions; no isolation for bulk loads
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupyes, based on authentication and database rulesSecurity Hooks for custom implementationsno

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More resources
DoltFirebase Realtime DatabaseIgniteInfinityDB
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