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DBMS > Apache IoTDB vs. Databricks vs. Hazelcast vs. HEAVY.AI vs. IBM Cloudant

System Properties Comparison Apache IoTDB vs. Databricks vs. Hazelcast vs. HEAVY.AI vs. IBM Cloudant

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonHazelcast  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
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 FlinkThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted in-memory data gridA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDatabase as a Service offering based on Apache CouchDB
Primary database modelTime Series DBMSDocument store
Relational DBMS
Key-value storeRelational DBMSDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Websiteiotdb.apache.orgwww.databricks.comhazelcast.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­cloudant
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comhazelcast.org/­imdg/­docsdocs.heavy.aicloud.ibm.com/­docs/­Cloudant
DeveloperApache Software FoundationDatabricksHazelcastHEAVY.AI, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20182013200820162010
Current release1.1.0, April 20235.3.6, November 20235.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++ and CUDAErlang
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAll OS with a Java VMLinuxhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLSQL-like query languageyesno
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Python
R
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infoEvent Listeners, Executor ServicesnoView functions (Map-Reduce) in JavaScript
Triggersyesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesyes infoReplicated MapMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitednono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlyesRole-based access controlfine grained access rights according to SQL-standardAccess rights for users can be defined per database
More information provided by the system vendor
Apache IoTDBDatabricksHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Cloudant
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache IoTDBDatabricksHazelcastHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Cloudant
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