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DBMS > HyperSQL vs. InterSystems Caché vs. Realm vs. ScyllaDB

System Properties Comparison HyperSQL vs. InterSystems Caché vs. Realm vs. ScyllaDB

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonRealm  Xexclude from comparisonScyllaDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA multi-model DBMS and application serverA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document storeWide column store
Secondary database modelsDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitehsqldb.orgwww.intersystems.com/­products/­cacherealm.iowww.scylladb.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.intersystems.comrealm.io/­docsdocs.scylladb.com
DeveloperInterSystemsRealm, acquired by MongoDB in May 2019ScyllaDB
Initial release2001199720142015
Current release2.7.2, June 20232018.1.4, May 2020ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infobased on BSD licensecommercialOpen 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 languageJavaC++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesdepending on used data modelyesschema-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 indexesyesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyesnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
.NET Client API
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 languagesAll languages supporting JDBC/ODBC
Java
C#
C++
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
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 proceduresJava, SQLyesno inforuns within the applications so server-side scripts are unnecessaryyes, Lua
Triggersyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneselectable 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 systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes infoIn-Memory realmyes infoin-memory tables
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyesAccess rights for users can be defined per object
More information provided by the system vendor
HyperSQL infoalso known as HSQLDBInterSystems CachéRealmScyllaDB
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
HyperSQL infoalso known as HSQLDBInterSystems CachéRealmScyllaDB
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