DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > BoltDB vs. RocksDB vs. Snowflake vs. Trafodion

System Properties Comparison BoltDB vs. RocksDB vs. Snowflake vs. Trafodion

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSnowflake  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn embedded key-value store for Go.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Cloud-based data warehousing service for structured and semi-structured dataTransactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score3.41
Rank#86  Overall
#11  Key-value stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitegithub.com/­boltdb/­boltrocksdb.orgwww.snowflake.comtrafodion.apache.org
Technical documentationgithub.com/­facebook/­rocksdb/­wikidocs.snowflake.net/­manuals/­index.htmltrafodion.apache.org/­documentation.html
DeveloperFacebook, Inc.Snowflake Computing Inc.Apache Software Foundation, originally developed by HP
Initial release2013201320142014
Current release9.2.1, May 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSDcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++, Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
Data schemeschema-freeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or datenonoyesyes
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.nonoyesno
Secondary indexesnonoyes
SQL infoSupport of SQLnonoyesyes
APIs and other access methodsC++ API
Java API
CLI Client
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGoC
C++
Go
Java
Perl
Python
Ruby
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonouser defined functionsJava Stored Procedures
Triggersnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnonoUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard

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
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
BoltDBRocksDBSnowflakeTrafodion
DB-Engines blog posts

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

What I learnt from building 3 high traffic web applications on an embedded key value store.
21 February 2018, hackernoon.com

4 Instructive Postmortems on Data Downtime and Loss
1 March 2024, The Hacker News

Roblox’s cloud-native catastrophe: A post mortem
31 January 2022, InfoWorld

How to Put a GUI on Ansible, Using Semaphore
22 April 2023, The New Stack

Three Reasons DevOps Should Consider Rocky Linux 9.4
15 May 2024, DevOps.com

provided by Google News

Did Rockset Just Solve Real-Time Analytics?
25 August 2021, Datanami

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

Linux 6.9 Drives AMD 4th Gen EPYC Performance Even Higher For Some Workloads
29 March 2024, Phoronix

Facebook's MyRocks Truly Rocks!
21 September 2020, Open Source For You

Power your Kafka Streams application with Amazon MSK and AWS Fargate | Amazon Web Services
10 August 2021, AWS Blog

provided by Google News

Lessons from the Ticketmaster-Snowflake Breach
12 June 2024, The Hacker News

Ticketmaster's Snowflake data breach was just one of 165
11 June 2024, The Verge

Mandiant says hackers stole a 'significant volume of data' from Snowflake customers
10 June 2024, TechCrunch

Hackers steal “significant volume” of data from hundreds of Snowflake customers
10 June 2024, Ars Technica

LendingTree confirms that cloud services attack potentially affected subsidiary
10 June 2024, The Record from Recorded Future News

provided by Google News

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

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

Present your product here