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DBMS > HBase vs. ScyllaDB vs. Sphinx vs. Tkrzw

System Properties Comparison HBase vs. ScyllaDB vs. Sphinx vs. Tkrzw

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableCassandra and DynamoDB compatible wide column storeOpen source search engine for searching in data from different sources, e.g. relational databasesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelWide column storeWide column storeSearch engineKey-value store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehbase.apache.orgwww.scylladb.comsphinxsearch.comdbmx.net/­tkrzw
Technical documentationhbase.apache.org/­book.htmldocs.scylladb.comsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetScyllaDBSphinx Technologies Inc.Mikio Hirabayashi
Initial release2008201520012020
Current release2.3.4, January 2021ScyllaDB Open Source 5.4.1, January 20243.5.1, February 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
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++C++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-free, schema definition possibleschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnono
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 indexesnoyes infocluster global secondary indicesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)no
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes, Luanono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infoRepresentation of geographical distribution of servers is possiblenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)no infoAtomicity and isolation are supported for single operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesyes infousing specific database classes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per objectnono
More information provided by the system vendor
HBaseScyllaDBSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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HBaseScyllaDBSphinxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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