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DBMS > Google Cloud Firestore vs. Ignite vs. Immudb vs. Tkrzw vs. Warp 10

System Properties Comparison Google Cloud Firestore vs. Ignite vs. Immudb vs. Tkrzw vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIgnite  Xexclude from comparisonImmudb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionCloud 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.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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeKey-value store
Relational DBMS
Key-value storeKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitefirebase.google.com/­products/­firestoreignite.apache.orggithub.com/­codenotary/­immudb
immudb.io
dbmx.net/­tkrzwwww.warp10.io
Technical documentationfirebase.google.com/­docs/­firestoreapacheignite.readme.io/­docsdocs.immudb.iowww.warp10.io/­content/­02_Getting_started
DeveloperGoogleApache Software FoundationCodenotaryMikio HirabayashiSenX
Initial release20172015202020202015
Current releaseApache Ignite 2.61.2.3, April 20220.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetGoC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
BSD
Linux
macOS
Solaris
Windows
z/OS
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like syntaxnono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC protocol
PostgreSQL wire protocol
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)nonoyes infoWarpScript
Triggersyes, with Cloud Functionsyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)noneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud FirestoreIgniteImmudbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWarp 10
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