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DBMS > Coveo vs. Graphite vs. GridDB vs. ScyllaDB

System Properties Comparison Coveo vs. Graphite vs. GridDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGraphite  Xexclude from comparisonGridDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperScalable in-memory time series database optimized for IoT and Big DataCassandra and DynamoDB compatible wide column store
Primary database modelSearch engineTime Series DBMSTime Series DBMSWide column store
Secondary database modelsKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#116  Overall
#11  Search engines
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitewww.coveo.comgithub.com/­graphite-project/­graphite-webgriddb.netwww.scylladb.com
Technical documentationdocs.coveo.comgraphite.readthedocs.iodocs.griddb.netdocs.scylladb.com
DeveloperCoveoChris DavisToshiba CorporationScyllaDB
Initial release2012200620132015
Current release5.1, August 2022ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languagePythonC++C++
Server operating systemshostedLinux
Unix
LinuxLinux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nononono
Secondary indexesyesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLnonoSQL92, SQL-like TQL (Toshiba Query Language)SQL-like DML and DDL statements (CQL)
APIs and other access methodsRESTful HTTP APIHTTP API
Sockets
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
Java
JavaScript
Python
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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 proceduresnononoyes, Lua
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate consistency within container, eventual consistency across containersEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID at container levelno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.yesyes infoin-memory tables
User concepts infoAccess controlgranular access controls, API key management, content filtersnoAccess rights for users can be defined per databaseAccess rights for users can be defined per object
More information provided by the system vendor
CoveoGraphiteGridDBScyllaDB
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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CoveoGraphiteGridDBScyllaDB
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