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DBMS > Heroic vs. RocksDB vs. SingleStore

System Properties Comparison Heroic vs. RocksDB vs. SingleStore

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonRocksDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable persistent key-value store optimized for fast storage (flash and RAM)MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#290  Overall
#26  Time Series DBMS
Score3.70
Rank#88  Overall
#15  Key-value stores
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websitespotify.github.io/­heroic/­#!/­indexrocksdb.orgwww.singlestore.com
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewgithub.com/­facebook/­rocksdb/­wikidocs.singlestore.com
DeveloperSpotifyFacebook, Inc.SingleStore Inc.
Initial release201420132013
Current release6.27.3, December 20217.6, November 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
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, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++C++, Go
Server operating systemsLinux info64 bit version required
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keys
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Java API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoFine grained access control via users, groups and roles
More information provided by the system vendor
HeroicRocksDBSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF 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
HeroicRocksDBSingleStore infoformer name was MemSQL
Conferences and events

Turbocharge Your Open-Source DB to Drive 100x Faster Performance
Webinar, 10am PT, 18 January 2022 (finished)

Recent citations in the news

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Toshiba Memory America Optimizes RocksDB for SSDs
5 August 2019, Business Wire

Facebook Open Sources MyRocks DB Engine And ZStandard Compression Algorithm
3 September 2016, Fossbytes

provided by Google News

What's Next: Managing Data in Cloud Native Environments – The New Stack
18 January 2022, thenewstack.io

Real-time database platform SingleStore raises $80M more, now at a $940M valuation
8 September 2021, TechCrunch

Database startup SingleStore raises $80M
8 September 2021, VentureBeat

SingleStore says it's the world's first database to support analytical and transactional workloads
23 June 2021, SiliconANGLE News

What's Changed: 2021 Gartner Magic Quadrant for Cloud Database Management Systems
13 January 2022, Solutions Review

provided by Google News

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