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DBMS > RavenDB vs. ScyllaDB vs. Tarantool

System Properties Comparison RavenDB vs. ScyllaDB vs. Tarantool

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseCassandra and DynamoDB compatible wide column storeIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelDocument storeWide column storeDocument store
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Key-value storeSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.53
Rank#99  Overall
#17  Document stores
Score3.61
Rank#72  Overall
#5  Wide column stores
Score1.40
Rank#149  Overall
#26  Document stores
#24  Key-value stores
#68  Relational DBMS
Websiteravendb.netwww.scylladb.comwww.tarantool.io
Technical documentationravendb.net/­docsdocs.scylladb.comwww.tarantool.io/­en/­doc
DeveloperHibernating RhinosScyllaDBVK
Initial release201020152008
Current release5.4, July 2022ScyllaDB Open Source 6.2.0, October 20242.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++C and C++
Server operating systemsLinux
macOS
Raspberry Pi
Windows
LinuxBSD
Linux
macOS
Data schemeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or datenoyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.nono
Secondary indexesyesyes infocluster global secondary indicesyes
SQL infoSupport of SQLSQL-like query language (RQL)SQL-like DML and DDL statements (CQL)Full-featured ANSI SQL support
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Open binary protocol
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
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
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesyes, LuaLua, C and SQL stored procedures
Triggersyesnoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possibleAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Casual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableyes infoAtomicity and isolation are supported for single operationsACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tablesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAuthorization levels configured per client per databaseAccess rights for users can be defined per objectAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
RavenDBScyllaDBTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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