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DBMS > Heroic vs. LevelDB vs. Sphinx vs. Teradata vs. YottaDB

System Properties Comparison Heroic vs. LevelDB vs. Sphinx vs. Teradata vs. YottaDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparisonYottaDB  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 valuesOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)A fast and solid embedded Key-value store
Primary database modelTime Series DBMSKey-value storeSearch engineRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
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
Score5.95
Rank#55  Overall
#5  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldbsphinxsearch.comwww.teradata.comyottadb.com
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsphinxsearch.com/­docsdocs.teradata.comyottadb.com/­resources/­documentation
DeveloperSpotifyGoogleSphinx Technologies Inc.TeradataYottaDB, LLC
Initial release20142011200119842001
Current release1.23, February 20213.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoGPL version 2, commercial licence availablecommercialOpen Source infoAGPL 3.0
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.
Implementation languageJavaC++C++C
Server operating systemsIllumos
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Docker
Linux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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.nonoyesno
Secondary indexesyes infovia Elasticsearchnoyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexno
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes infoSQL 2016 + extensionsby using the Octo plugin
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
HeroicLevelDBSphinxTeradataYottaDB
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