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DBMS > Apache IoTDB vs. Databricks vs. EsgynDB vs. Tibero vs. Valentina Server

System Properties Comparison Apache IoTDB vs. Databricks vs. EsgynDB vs. Tibero vs. Valentina Server

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonTibero  Xexclude from comparisonValentina Server  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA secure RDBMS, designed for easy portability from OracleObject-relational database and reports server
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational 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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteiotdb.apache.orgwww.databricks.comwww.esgyn.cnus.tmaxsoft.com/­products/­tiberowww.valentina-db.net
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationDatabricksEsgynTmaxSoftParadigma Software
Initial release20182013201520031999
Current release1.1.0, April 20236, April 20155.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaC and Assembler
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLyesyesyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesJava Stored ProceduresPersistent Stored Procedure (PSM)yes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning infoby range, hash, list or composite
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 replication between multi datacentersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnonono infoplanned for next versionyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)fine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBDatabricksEsgynDBTiberoValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache IoTDBDatabricksEsgynDBTiberoValentina Server
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