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DBMS > OpenTSDB vs. RocksDB vs. Splice Machine

System Properties Comparison OpenTSDB vs. RocksDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameOpenTSDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable Time Series DBMS based on HBaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#141  Overall
#12  Time Series DBMS
Score2.89
Rank#97  Overall
#16  Key-value stores
Score0.54
Rank#246  Overall
#114  Relational DBMS
Websiteopentsdb.netrocksdb.orgsplicemachine.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmlgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
Developercurrently maintained by Yahoo and other contributorsFacebook, Inc.Splice Machine
Initial release201120132014
Current release9.4.0, June 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoLGPLOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenumeric data for metrics, strings for tagsnoyes
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.nono
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsHTTP API
Telnet API
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesErlang
Go
Java
Python
R
Ruby
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBasehorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard

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Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
OpenTSDBRocksDBSplice Machine
DB-Engines blog posts

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