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DBMS > Apache IoTDB vs. Drizzle vs. Heroic vs. LevelDB vs. Teradata

System Properties Comparison Apache IoTDB vs. Drizzle vs. Heroic vs. LevelDB vs. Teradata

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Time 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 valuesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteiotdb.apache.orggithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.teradata.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.teradata.com
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerSpotifyGoogleTeradata
Initial release20182008201420111984
Current release1.1.0, April 20237.2.4, September 20121.23, February 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Illumos
Linux
OS X
Windows
hosted
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyes infovia Elasticsearchnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsnonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
Native API
JDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersyesno infohooks for callbacks inside the server can be used.nonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standard

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More resources
Apache IoTDBDrizzleHeroicLevelDBTeradata
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