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DBMS > FatDB vs. gStore vs. InfluxDB vs. Spark SQL vs. YottaDB

System Properties Comparison FatDB vs. gStore vs. InfluxDB vs. Spark SQL vs. YottaDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisongStore  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonYottaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A native Graph DBMS to store and maintain very large RDF datasets.DBMS for storing time series, events and metricsSpark SQL is a component on top of 'Spark Core' for structured data processingA fast and solid embedded Key-value store
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteen.gstore.cnwww.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sqlyottadb.com
Technical documentationen.gstore.cn/­#/­enDocsdocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlyottadb.com/­resources/­documentation
DeveloperFatCloudApache Software FoundationYottaDB, LLC
Initial release20122016201320142001
Current release1.2, November 20232.7.6, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++GoScalaC
Server operating systemsWindowsLinuxLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesno
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.nononono
Secondary indexesyesnonono
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like query languageSQL-like DML and DDL statementsby using the Octo plugin
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
SPARQL 1.1
HTTP API
JSON over UDP
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#C++
Java
JavaScript (Node.js)
PHP
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infovia applicationsyesnono
Triggersyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoDepending on used storage enginenoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers, roles and permissions, Role-Based Access Control (RBAC) supportedsimple rights management via user accountsnoUsers and groups based on OS-security mechanisms
More information provided by the system vendor
FatDBgStoreInfluxDBSpark SQLYottaDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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