DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > RocksDB vs. Spark SQL vs. STSdb

System Properties Comparison RocksDB vs. Spark SQL vs. STSdb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameRocksDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.72
Rank#87  Overall
#14  Key-value stores
Score20.56
Rank#34  Overall
#20  Relational DBMS
Score0.17
Rank#296  Overall
#44  Key-value stores
Websiterocksdb.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationgithub.com/­facebook/­rocksdb/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFacebook, Inc.Apache Software FoundationSTS Soft SC
Initial release201320142011
Current release6.22.1, July 20213.1.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC#
Server operating systemsLinux
OS X
Windows
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)
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 indexesnonono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsC++ API
Java API
JDBC
ODBC
.NET Client API
Supported programming languagesC++
Java
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlnonono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
RocksDBSpark SQLSTSdb
Recent citations in the news

Toshiba Memory America Optimizes RocksDB for SSDs
1 August 2019, Business Wire

Running Mongorocks In Production
27 April 2016, DZone News

All 51 startups that debuted at Y Combinator W17 Demo Day 2
22 March 2017, TechCrunch

Alluxio Bolsters Data Orchestration for Hybrid Cloud World
11 July 2019, Datanami

Information Builders Bets on Kafka for Real-Time Analytics
7 June 2019, RTInsights

provided by Google News

Enterprises Needing Accelerated Data Analytics and AI Workloads Get Help from Nvidia and Cloudera
4 August 2021, EnterpriseAI

Beginner's Guide To Machine Learning With Apache Spark
16 July 2021, Analytics India Magazine

Latest big data developments in the realm of data lakehouse
23 July 2021, VentureBeat

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

Inside LinkedIn’s big data pipeline
4 August 2021, Illinoisnewstoday.com

provided by Google News

Job opportunities

Software Engineer, AR Server Infrastructure
Niantic, Sunnyvale, CA

Software Engineer
DataDog, New York, NY

Data Engineer III
Mind Fast Find, Seattle, WA

Database Adminstrator
TradingScreen, New York, NY

Applied Data Scientist III
Discovery, New York, NY

Data Warehouse Architect
J.Crew, New York, NY

Analyst, Business Intelligence
Horizon Media, Inc., New York, NY

Data Engineer - REMOTE OK
Pinnacle Group, Cupertino, CA

Data Scientist
Cloudflare, Austin, TX

SOFTWARE DEVELOPERS (327)
IdolSoft, Irving, TX

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here