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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. JaguarDB vs. OpenTSDB vs. Spark SQL

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. JaguarDB vs. OpenTSDB vs. Spark SQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonJaguarDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed 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 FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksPerformant, highly scalable DBMS for AI and IoT applicationsScalable Time Series DBMS based on HBaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSDocument store
Key-value store
Key-value store
Vector DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.jaguardb.comopentsdb.netspark.apache.org/­sql
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.jaguardb.com/­support.htmlopentsdb.net/­docs/­build/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationAtos Convergence CreatorsDataJaguar, Inc.currently maintained by Yahoo and other contributorsApache Software Foundation
Initial release20182016201520112014
Current release1.1.0, April 202317033.3 July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0Open Source infoLGPLOpen Source infoApache 2.0
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 languageJavaJavaC++ infothe server part. Clients available in other languagesJavaScala
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinuxLinux
Windows
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesnumeric data for metrics, strings for tagsyes
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.noyesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL-like query languagenoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like DML and DDL statements
APIs and other access methodsJDBC
Native API
LDAPJDBC
ODBC
HTTP API
Telnet API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnononono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionShardingSharding infobased on HBaseyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesMulti-source replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnonono
User concepts infoAccess controlyesLDAP bind authenticationrights management via user accountsnono

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More resources
Apache IoTDBAtos Standard Common RepositoryJaguarDBOpenTSDBSpark SQL
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