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DBMS > Heroic vs. Postgres-XL vs. SingleStore

System Properties Comparison Heroic vs. Postgres-XL vs. SingleStore

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#311  Overall
#27  Time Series DBMS
Score0.68
Rank#213  Overall
#106  Relational DBMS
Score5.53
Rank#67  Overall
#37  Relational DBMS
Websitespotify.github.io/­heroic/­#!/­indexwww.postgres-xl.orgwww.singlestore.com
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewwww.postgres-xl.org/­documentationdocs.singlestore.com
DeveloperSpotifySingleStore Inc.
Initial release20142014 infosince 2012, originally named StormDB2013
Current release10 R1, October 20187.3, December 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial 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, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaCC++
Server operating systemsLinux
macOS
Linux info64 bit version required
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionyes, but no triggers and foreign keys
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency only within each node
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
HeroicPostgres-XLSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore is The No Limits Database™, powering modern applications and analytical...
» more
Competitive advantagesPerformance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosReal-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersComcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsCustomers in various industries worldwide -- US and International Industry Solutions:...
» 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
HeroicPostgres-XLSingleStore infoformer name was MemSQL
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