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DBMS > Badger vs. BigchainDB vs. Firebolt vs. HEAVY.AI vs. ScyllaDB

System Properties Comparison Badger vs. BigchainDB vs. Firebolt vs. HEAVY.AI vs. ScyllaDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebolt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSWide column store
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.firebolt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.scylladb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.firebolt.iodocs.heavy.aidocs.scylladb.com
DeveloperDGraph LabsFirebolt Analytics Inc.HEAVY.AI, Inc.ScyllaDB
Initial release20172016202020162015
Current release5.10, January 2022ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoPythonC++ and CUDAC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinuxLinux
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenonoyesyesyes
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.nononono
Secondary indexesnoyesnoyes infocluster global secondary indices
SQL infoSupport of SQLnonoyesyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsCLI Client
RESTful HTTP API
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
Go
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnononoyes, Lua
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factordepending on storage layerMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tables
User concepts infoAccess controlnoyesfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
BadgerBigchainDBFireboltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
BadgerBigchainDBFireboltHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ScyllaDB
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