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DBMS > Apache IoTDB vs. CockroachDB vs. FatDB vs. IBM Db2 Event Store vs. OpenTSDB

System Properties Comparison Apache IoTDB vs. CockroachDB vs. FatDB vs. IBM Db2 Event Store vs. OpenTSDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOpenTSDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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 FlinkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Distributed Event Store optimized for Internet of Things use casesScalable Time Series DBMS based on HBase
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Event Store
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websiteiotdb.apache.orgwww.cockroachlabs.comwww.ibm.com/­products/­db2-event-storeopentsdb.net
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docswww.ibm.com/­docs/­en/­db2-event-storeopentsdb.net/­docs/­build/­html/­index.html
DeveloperApache Software FoundationCockroach LabsFatCloudIBMcurrently maintained by Yahoo and other contributors
Initial release20182015201220172011
Current release1.1.0, April 202323.1.1, May 20232.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialcommercial infofree developer edition availableOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC#C and C++Java
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
WindowsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Data schemeyesdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesnumeric data for metrics, strings for tags
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 indexesyesyesyesnono
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLno infoVia inetgration in SQL Serveryes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
Native API
JDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes infovia applicationsyesno
Triggersyesnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingShardingSharding infobased on HBase
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 using RAFTselectable replication factorActive-active shard replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlyesRole-based access controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBCockroachDBFatDBIBM Db2 Event StoreOpenTSDB
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