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DBMS > Google Cloud Firestore vs. Ignite vs. Sphinx vs. TDengine

System Properties Comparison Google Cloud Firestore vs. Ignite vs. Sphinx vs. TDengine

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIgnite  Xexclude from comparisonSphinx  Xexclude from comparisonTDengine  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.Open source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS and big data platform
Primary database modelDocument storeKey-value store
Relational DBMS
Search engineTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score11.51
Rank#45  Overall
#8  Document stores
Score5.50
Rank#78  Overall
#10  Key-value stores
#41  Relational DBMS
Score6.63
Rank#64  Overall
#8  Search engines
Score2.40
Rank#130  Overall
#10  Time Series DBMS
Websitefirebase.google.com/­products/­firestoreignite.apache.orgsphinxsearch.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationfirebase.google.com/­docs/­firestoreapacheignite.readme.io/­docssphinxsearch.com/­docsdocs.tdengine.com
DeveloperGoogleApache Software FoundationSphinx Technologies Inc.TDEngine, previously Taos Data
Initial release2017201520012019
Current releaseApache Ignite 2.63.4.1, July 20213.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
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.noyesno
Secondary indexesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (SphinxQL)Standard SQL with extensions for time-series applications
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
Proprietary protocolJDBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)nono
Triggersyes, with Cloud Functionsyes (cache interceptors and events)noyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 implementationsnoyes
More information provided by the system vendor
Google Cloud FirestoreIgniteSphinxTDengine
Specific characteristicsTDengine™ is an open-source, cloud-native time-series database (TSDB) optimized for...
» more
Competitive advantagesHigh performance: TDengine is the only time-series database that solves the high-cardinality...
» more
Typical application scenariosInternet of Things (IoT) Industrial Internet (IIoT) Connected Cars DevOps Energy...
» more
Market metricsTDengine has garnered over 20,000 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine Community Edition is open-source software released under the AGPL 3.0 that...
» more

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More resources
Google Cloud FirestoreIgniteSphinxTDengine
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