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DBMS > Heroic vs. Kingbase vs. Microsoft Azure Table Storage vs. ScyllaDB

System Properties Comparison Heroic vs. Kingbase vs. Microsoft Azure Table Storage vs. ScyllaDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A Wide Column Store for rapid development using massive semi-structured datasetsCassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSRelational DBMSWide column storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitegithub.com/­spotify/­heroicwww.kingbase.com.cnazure.microsoft.com/­en-us/­services/­storage/­tableswww.scylladb.com
Technical documentationspotify.github.io/­heroicdocs.scylladb.com
DeveloperSpotifyBeiJing KINGBASE Information technologies inc.MicrosoftScyllaDB
Initial release2014199920122015
Current releaseV8.0, August 2021ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languageJavaC and JavaC++
Server operating systemsLinux
Windows
hostedLinux
Data schemeschema-freeyesschema-freeschema-free
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.noyesnono
Secondary indexesyes infovia Elasticsearchyesnoyes infocluster global secondary indices
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresnouser defined functionsnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable 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 systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingno infoAtomicity and isolation are supported for single operations
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 tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesAccess rights for users can be defined per object
More information provided by the system vendor
HeroicKingbaseMicrosoft Azure Table StorageScyllaDB
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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HeroicKingbaseMicrosoft Azure Table StorageScyllaDB
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