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DBMS > FatDB vs. Hyprcubd vs. InfluxDB vs. Spark SQL vs. Transwarp Hippo

System Properties Comparison FatDB vs. Hyprcubd vs. InfluxDB vs. Spark SQL vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Serverless Time Series DBMSDBMS for storing time series, events and metricsSpark SQL is a component on top of 'Spark Core' for structured data processingCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websitehyprcubd.com (offline)www.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sqlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudHyprcubd, Inc.Apache Software Foundation
Initial release2012201320142023
Current release2.7.6, April 20243.5.0 ( 2.13), September 20231.0, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoGoScalaC++
Server operating systemsWindowshostedLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringNumeric data and StringsyesVector, Numeric and String
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 indexesyesnononono
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (https)HTTP API
JSON over UDP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
C++
Java
Python
Server-side scripts infoStored proceduresyes infovia applicationsnononono
Triggersyes infovia applicationsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
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 applicationstoken accesssimple rights management via user accountsnoRole based access control and fine grained access rights
More information provided by the system vendor
FatDBHyprcubdInfluxDBSpark SQLTranswarp Hippo
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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