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DBMS > BigchainDB vs. Graph Engine vs. OpenMLDB vs. ScyllaDB

System Properties Comparison BigchainDB vs. Graph Engine vs. OpenMLDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenMLDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open-source machine learning database that provides a feature platform for training and inferenceCassandra and DynamoDB compatible wide column store
Primary database modelDocument storeGraph DBMS
Key-value store
Time Series DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.bigchaindb.comwww.graphengine.ioopenmldb.aiwww.scylladb.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.graphengine.io/­docs/­manualopenmldb.ai/­docs/­zh/­maindocs.scylladb.com
DeveloperMicrosoft4 Paradigm Inc.ScyllaDB
Initial release2016201020202015
Current release2024-2 February 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoMIT LicenseOpen SourceOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languagePython.NET and CC++, Java, ScalaC++
Server operating systemsLinux.NETLinuxLinux
Data schemeschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyesyes infocluster global secondary indices
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statements (CQL)
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIJDBC
SQLAlchemy
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
F#
Visual Basic
C++
Go
Java
Python
Scala
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 proceduresyesnoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 persistentyes,with MongoDB ord RethinkDBoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoin-memory tables
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
BigchainDBGraph Engine infoformer name: TrinityOpenMLDBScyllaDB
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
BigchainDBGraph Engine infoformer name: TrinityOpenMLDBScyllaDB
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