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DBMS > Hazelcast vs. Hyprcubd vs. Postgres-XL vs. ScyllaDB

System Properties Comparison Hazelcast vs. Hyprcubd vs. Postgres-XL vs. ScyllaDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonPostgres-XL  Xexclude from comparisonScyllaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridServerless Time Series DBMSBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeTime Series DBMSRelational DBMSWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitehazelcast.comhyprcubd.com (offline)www.postgres-xl.orgwww.scylladb.com
Technical documentationhazelcast.org/­imdg/­docswww.postgres-xl.org/­documentationdocs.scylladb.com
DeveloperHazelcastHyprcubd, Inc.ScyllaDB
Initial release20082014 infosince 2012, originally named StormDB2015
Current release5.3.6, November 202310 R1, October 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoMozilla public licenseOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
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 languageJavaGoCC++
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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.yes infothe object must implement a serialization strategynoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infodistributed, parallel query executionSQL-like DML and DDL statements (CQL)
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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 proceduresyes infoEvent Listeners, Executor Servicesnouser defined functionsyes, Lua
Triggersyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infoMVCCno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesnonoyes infoin-memory tables
User concepts infoAccess controlRole-based access controltoken accessfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
HazelcastHyprcubdPostgres-XLScyllaDB
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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HazelcastHyprcubdPostgres-XLScyllaDB
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