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DBMS > Datastax Enterprise vs. HEAVY.AI vs. Hypertable vs. Kinetica vs. ScyllaDB

System Properties Comparison Datastax Enterprise vs. HEAVY.AI vs. Hypertable vs. Kinetica vs. ScyllaDB

Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonScyllaDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsCassandra and DynamoDB compatible wide column store
Primary database modelWide column storeRelational DBMSWide column storeRelational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMSSpatial DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comwww.scylladb.com
Technical documentationdocs.datastax.comdocs.heavy.aidocs.kinetica.comdocs.scylladb.com
DeveloperDataStaxHEAVY.AI, Inc.Hypertable Inc.KineticaScyllaDB
Initial release20112016200920122015
Current release6.8, April 20205.10, January 20220.9.8.11, March 20167.1, August 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++ and CUDAC++C, C++C++
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesnorestricted infoonly exact value or prefix value scansyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesnoSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
Thrift
Vega
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
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 proceduresnononouser defined functionsyes, Lua
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoRound robinShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replicationselectable replication factor on file system levelSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnononono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes infoin-memory tables
User concepts infoAccess controlAccess rights for users can be defined per objectfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelAccess rights for users can be defined per object
More information provided by the system vendor
Datastax EnterpriseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableKineticaScyllaDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsAnnual subscription
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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Datastax EnterpriseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableKineticaScyllaDB
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