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DBMS > Apache IoTDB vs. Databricks vs. GeoMesa vs. OrientDB vs. SAP Adaptive Server

System Properties Comparison Apache IoTDB vs. Databricks vs. GeoMesa vs. OrientDB vs. SAP Adaptive Server

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonGeoMesa  Xexclude from comparisonOrientDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Multi-model DBMS (Document, Graph, Key/Value)The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelTime Series DBMSDocument store
Relational DBMS
Spatial DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websiteiotdb.apache.orgwww.databricks.comwww.geomesa.orgorientdb.orgwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.orientdb.com/­docs/­last/­index.htmlhelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software FoundationDatabricksCCRi and othersOrientDB LTD; CallidusCloud; SAPSAP, Sybase
Initial release20182013201420101987
Current release1.1.0, April 20234.0.5, February 20243.2.29, March 202416.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache License 2.0Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaJavaC and C++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAll OS with a Java JDK (>= JDK 6)AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.noyesnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLnoSQL-like query language, no joinsyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Python
R
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoJava, JavascriptJava and Transact-SQL
TriggersyesnoHooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)depending on storage layerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesdepending on storage layerMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
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.yesnodepending on storage layer
User concepts infoAccess controlyesyes infodepending on the DBMS used for storageAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBDatabricksGeoMesaOrientDBSAP Adaptive Server infoformer name: Sybase ASE
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache IoTDBDatabricksGeoMesaOrientDBSAP Adaptive Server infoformer name: Sybase ASE
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