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DBMS > Heroic vs. InfluxDB vs. ObjectBox vs. SingleStore

System Properties Comparison Heroic vs. InfluxDB vs. ObjectBox vs. SingleStore

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInfluxDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsExtremely fast embedded database for small devices, IoT and MobileMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelTime Series DBMSTime Series DBMSObject oriented DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#304  Overall
#26  Time Series DBMS
Score29.24
Rank#28  Overall
#1  Time Series DBMS
Score0.87
Rank#188  Overall
#8  Object oriented DBMS
Score5.21
Rank#67  Overall
#37  Relational DBMS
Websitespotify.github.io/­heroic/­#!/­indexwww.influxdata.com/­products/­influxdb-overviewobjectbox.iowww.singlestore.com
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewdocs.influxdata.com/­influxdbdocs.objectbox.iodocs.singlestore.com
DeveloperSpotifyObjectBox LimitedSingleStore Inc.
Initial release2014201320172013
Current release2.0.7, June 20217.3, December 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache License 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaGoC and C++C++
Server operating systemsLinux
OS X infothrough Homebrew
Android
iOS
Linux
macOS
Windows
Linux info64 bit version required
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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 indexesyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes, but no triggers and foreign keys
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
Proprietary native APIJDBC
ODBC
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononoyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyonline/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
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 controlsimple rights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
HeroicInfluxDBObjectBoxSingleStore infoformer name was MemSQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
SingleStore is The No Limits Database™, powering modern applications and analytical...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Performance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Real-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Comcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Customers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
F ree Tier and Enterprise Edition
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HeroicInfluxDBObjectBoxSingleStore infoformer name was MemSQL
DB-Engines blog posts

Why Build a Time Series Data Platform?
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