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DBMS > Hypertable vs. Linter vs. ScyllaDB vs. SiteWhere

System Properties Comparison Hypertable vs. Linter vs. ScyllaDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonLinter  Xexclude from comparisonScyllaDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopRDBMS for high security requirementsCassandra and DynamoDB compatible wide column storeM2M integration platform for persisting/querying time series data
Primary database modelWide column storeRelational DBMSWide column storeTime Series DBMS
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitelinter.ruwww.scylladb.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.scylladb.comsitewhere1.sitewhere.io/­index.html
DeveloperHypertable Inc.relex.ruScyllaDBSiteWhere
Initial release2009199020152010
Current release0.9.8.11, March 2016ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono
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 languageC++C and C++C++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freepredefined scheme
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infocluster global secondary indicesno
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements (CQL)no
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
HTTP REST
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
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 proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLyes, Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoAtomicity and isolation are supported for single operationsno
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.yes infoin-memory tablesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per objectUsers with fine-grained authorization concept
More information provided by the system vendor
HypertableLinterScyllaDBSiteWhere
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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HypertableLinterScyllaDBSiteWhere
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