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DBMS > Linter vs. Oracle Berkeley DB vs. ScyllaDB vs. SurrealDB

System Properties Comparison Linter vs. Oracle Berkeley DB vs. ScyllaDB vs. SurrealDB

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonScyllaDB  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionRDBMS for high security requirementsWidely used in-process key-value storeCassandra and DynamoDB compatible wide column storeA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Wide column storeDocument store
Graph DBMS
Secondary database modelsSpatial DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitelinter.ruwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.scylladb.comsurrealdb.com
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.scylladb.comsurrealdb.com/­docs
Developerrelex.ruOracle infooriginally developed by Sleepycat, which was acquired by OracleScyllaDBSurrealDB Ltd
Initial release1990199420152022
Current release18.1.40, May 2020ScyllaDB Open Source 5.4.1, January 2024v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source
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 and C++C, Java, C++ (depending on the Berkeley DB edition)C++Rust
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
LinuxLinux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infocluster global secondary indices
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statements (CQL)SQL-like query language
APIs and other access methodsADO.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
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
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
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes, Lua
Triggersyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per objectyes, based on authentication and database rules
More information provided by the system vendor
LinterOracle Berkeley DBScyllaDBSurrealDB
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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LinterOracle Berkeley DBScyllaDBSurrealDB
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