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DBMS > Google Cloud Firestore vs. ScyllaDB vs. Sphinx vs. TempoIQ

System Properties Comparison Google Cloud Firestore vs. ScyllaDB vs. Sphinx vs. TempoIQ

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
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.Cassandra and DynamoDB compatible wide column storeOpen source search engine for searching in data from different sources, e.g. relational databasesScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument storeWide column storeSearch engineTime Series DBMS
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitefirebase.google.com/­products/­firestorewww.scylladb.comsphinxsearch.comtempoiq.com (offline)
Technical documentationfirebase.google.com/­docs/­firestoredocs.scylladb.comsphinxsearch.com/­docs
DeveloperGoogleScyllaDBSphinx Technologies Inc.TempoIQ
Initial release2017201520012012
Current releaseScyllaDB Open Source 5.4.1, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC++C++
Server operating systemshostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-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.nonono
Secondary indexesyesyes infocluster global secondary indicesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)no
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocolHTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes, Luanono
Triggersyes, with Cloud Functionsnonoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsnono
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 infoin-memory tablesno
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.Access rights for users can be defined per objectnosimple authentication-based access control
More information provided by the system vendor
Google Cloud FirestoreScyllaDBSphinxTempoIQ infoformerly TempoDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Google Cloud FirestoreScyllaDBSphinxTempoIQ infoformerly TempoDB
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