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DBMS > Heroic vs. ITTIA vs. LevelDB vs. TDSQL for MySQL

System Properties Comparison Heroic vs. ITTIA vs. LevelDB vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonITTIA  Xexclude from comparisonLevelDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEdge Time Series DBMS with Real-Time Stream ProcessingEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.44
Rank#267  Overall
#23  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.ittia.comgithub.com/­google/­leveldbwww.tencentcloud.com/­products/­dcdb
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.tencentcloud.com/­document/­product/­1042
DeveloperSpotifyITTIA L.L.C.GoogleTencent
Initial release2014200720112013
Current release8.71.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsLinux
Windows
Illumos
Linux
OS X
Windows
hosted
Data schemeschema-freeFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesFloat/Blob/Integer/String/Unicode/Date/Time/Timestamp/Intervalnoyes
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 Elasticsearchyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
WebSocket
JDBC
ODBC
Supported programming languagesC
C++
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication
Source-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
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlDatabase file passwordsnoUsers with fine-grained authorization concept

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More resources
HeroicITTIALevelDBTDSQL for MySQL
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