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DBMS > DuckDB vs. GBase vs. Memcached vs. ScyllaDB

System Properties Comparison DuckDB vs. GBase vs. Memcached vs. ScyllaDB

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGBase  Xexclude from comparisonMemcached  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.In-memory key-value store, originally intended for cachingCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSRelational DBMSKey-value storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websiteduckdb.orgwww.gbase.cnwww.memcached.orgwww.scylladb.com
Technical documentationduckdb.org/­docsgithub.com/­memcached/­memcached/­wikidocs.scylladb.com
DeveloperGeneral Data Technology Co., Ltd.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalScyllaDB
Initial release2018200420032015
Current release0.10, February 2024GBase 8a, GBase 8s, GBase 8c1.6.25, March 2024ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoBSD licenseOpen 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 languageC++C, Java, PythonCC++
Server operating systemsserver-lessLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesno
Secondary indexesyesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyesStandard with numerous extensionsnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
ADO.NET
C API
JDBC
ODBC
Proprietary protocolProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C#.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
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 proceduresnouser defined functionsnoyes, Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone infoRepcached, a Memcached patch, provides this functionallityselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesnoyes
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 controlnoyesyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users can be defined per object
More information provided by the system vendor
DuckDBGBaseMemcachedScyllaDB
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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DuckDBGBaseMemcachedScyllaDB
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