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DBMS > Heroic vs. LevelDB vs. SingleStore vs. Teradata vs. UniData,UniVerse

System Properties Comparison Heroic vs. LevelDB vs. SingleStore vs. Teradata vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTeradata  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMySQL 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 typeA hybrid cloud data analytics software platform (Teradata Vantage)MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMSMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.singlestore.comwww.teradata.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.singlestore.comdocs.teradata.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSpotifyGoogleSingleStore Inc.TeradataRocket Software
Initial release20142011201319841985
Current release1.23, February 20218.5, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDcommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: 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++, GoC
Server operating systemsIllumos
Linux
OS X
Windows
Linux info64 bit version requiredhosted
Linux
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesoptional
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.nononoyes
Secondary indexesyes infovia Elasticsearchnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysyes infoSQL 2016 + extensionsyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnonoyesyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnononoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioningSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
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 rolesfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
HeroicLevelDBSingleStore infoformer name was MemSQLTeradataUniData,UniVerse
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
HeroicLevelDBSingleStore infoformer name was MemSQLTeradataUniData,UniVerse
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
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Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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