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DBMS > Heroic vs. Hypertable vs. LevelDB vs. Qdrant vs. TimesTen

System Properties Comparison Heroic vs. Hypertable vs. LevelDB vs. Qdrant vs. TimesTen

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonLevelDB  Xexclude from comparisonQdrant  Xexclude from comparisonTimesTen  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high-performance vector database with neural network or semantic-based matchingIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSWide column storeKey-value storeVector DBMSRelational 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
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitegithub.com/­spotify/­heroicgithub.com/­google/­leveldbgithub.com/­qdrant/­qdrant
qdrant.tech
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdqdrant.tech/­documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperSpotifyHypertable Inc.GoogleQdrantOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20142009201120211998
Current release0.9.8.11, March 20161.23, February 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoBSDOpen Source infoApache Version 2.0commercial
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++Rust
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Illumos
Linux
OS X
Windows
Docker
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoNumbers, Strings, Geo, Booleanyes
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 Elasticsearchrestricted infoonly exact value or prefix value scansnoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnononoPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelnoneCollection-level replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoKey-based authenticationfine grained access rights according to SQL-standard

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More resources
HeroicHypertableLevelDBQdrantTimesTen
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