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DBMS > Oracle Rdb vs. ScyllaDB vs. Sphinx vs. ToroDB

System Properties Comparison Oracle Rdb vs. ScyllaDB vs. Sphinx vs. ToroDB

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Editorial information provided by DB-Engines
NameOracle Rdb  Xexclude from comparisonScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCassandra and DynamoDB compatible wide column storeOpen source search engine for searching in data from different sources, e.g. relational databasesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSWide column storeSearch engineDocument store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.scylladb.comsphinxsearch.comgithub.com/­torodb/­server
Technical documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.scylladb.comsphinxsearch.com/­docs
DeveloperOracle, originally developed by Digital Equipment Corporation (DEC)ScyllaDBSphinx Technologies Inc.8Kdata
Initial release1984201520012016
Current release7.4.1.1, 2021ScyllaDB Open Source 5.4.1, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3
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++Java
Server operating systemsHP Open VMSLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infostring, integer, double, boolean, date, object_id
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 indexesyesyes infocluster global secondary indicesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Supported programming languagesFor 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
Server-side scripts infoStored proceduresyes, Luano
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeno infoAtomicity and isolation are supported for single operationsnono
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.noyes infoin-memory tables
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess rights for users and roles
More information provided by the system vendor
Oracle RdbScyllaDBSphinxToroDB
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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Oracle RdbScyllaDBSphinxToroDB
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