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DBMS > Apache IoTDB vs. IBM Db2 Event Store vs. NuoDB vs. Rockset

System Properties Comparison Apache IoTDB vs. IBM Db2 Event Store vs. NuoDB vs. Rockset

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNuoDB  Xexclude from comparisonRockset  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 FlinkDistributed Event Store optimized for Internet of Things use casesNuoDB is a webscale distributed database that supports SQL and ACID transactionsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelTime Series DBMSEvent Store
Time Series DBMS
Relational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Score0.87
Rank#201  Overall
#94  Relational DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteiotdb.apache.orgwww.ibm.com/­products/­db2-event-storewww.3ds.com/­nuodb-distributed-sql-databaserockset.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.ibm.com/­docs/­en/­db2-event-storedoc.nuodb.comdocs.rockset.com
DeveloperApache Software FoundationIBMDassault Systèmes infooriginally NuoDB, Inc.Rockset
Initial release2018201720132019
Current release1.1.0, April 20232.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux infoLinux, macOS, Windows for the developer additionhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyes infothrough the embedded Spark runtimeyesRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
Native API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesJava, SQLno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingdata is dynamically stored/cached on the nodes where it is read/writtenAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasActive-active shard replicationyes infoManaged transparently by NuoDByes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes infoMVCCyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTemporary table
User concepts infoAccess controlyesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative UsersAccess rights for users and organizations can be defined via Rockset console

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More resources
Apache IoTDBIBM Db2 Event StoreNuoDBRockset
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