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DBMS > Apache IoTDB vs. BoltDB vs. Databricks vs. Oracle Rdb vs. RocksDB

System Properties Comparison Apache IoTDB vs. BoltDB vs. Databricks vs. Oracle Rdb vs. RocksDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBoltDB  Xexclude from comparisonDatabricks  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRocksDB  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 FlinkAn embedded key-value store for Go.The 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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelTime Series DBMSKey-value storeDocument store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websiteiotdb.apache.orggithub.com/­boltdb/­boltwww.databricks.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlrocksdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software FoundationDatabricksOracle, originally developed by Digital Equipment Corporation (DEC)Facebook, Inc.
Initial release20182013201319842013
Current release1.1.0, April 20237.4.1.1, 20219.2.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicensecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Solaris
Windows
hostedHP Open VMSLinux
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nonoyesnono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like query languagenowith Databricks SQLyesno
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
GoPython
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functions and aggregatesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal 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 replicasnoneyesyes
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
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDyes, on a single nodeyes
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.yesnononoyes
User concepts infoAccess controlyesnono
More information provided by the system vendor
Apache IoTDBBoltDBDatabricksOracle RdbRocksDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Apache IoTDBBoltDBDatabricksOracle RdbRocksDB
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