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DBMS > Blueflood vs. Heroic vs. ScyllaDB vs. TypeDB

System Properties Comparison Blueflood vs. Heroic vs. ScyllaDB vs. TypeDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHeroic  Xexclude from comparisonScyllaDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCassandra and DynamoDB compatible wide column storeTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSTime Series DBMSWide column storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteblueflood.iogithub.com/­spotify/­heroicwww.scylladb.comtypedb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikispotify.github.io/­heroicdocs.scylladb.comtypedb.com/­docs
DeveloperRackspaceSpotifyScyllaDBVaticle
Initial release2013201420152016
Current releaseScyllaDB Open Source 5.4.1, January 20242.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL Version 3, commercial licenses 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 languageJavaJavaC++Java
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows
Data schemepredefined schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyes infovia Elasticsearchyes infocluster global secondary indicesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)no
APIs and other access methodsHTTP RESTHQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesFor 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
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonoyes, Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operationsACID
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.nonoyes infoin-memory tablesno
User concepts infoAccess controlnoAccess rights for users can be defined per objectyes infoat REST API level; other APIs in progress
More information provided by the system vendor
BluefloodHeroicScyllaDBTypeDB infoformerly named Grakn
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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BluefloodHeroicScyllaDBTypeDB infoformerly named Grakn
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