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DBMS > BigchainDB vs. RavenDB vs. Tarantool vs. TimesTen

System Properties Comparison BigchainDB vs. RavenDB vs. Tarantool vs. TimesTen

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTarantool  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeDocument storeDocument store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.bigchaindb.comravendb.netwww.tarantool.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationbigchaindb.readthedocs.io/­en/­latestravendb.net/­docswww.tarantool.io/­en/­docdocs.oracle.com/­database/­timesten-18.1
DeveloperHibernating RhinosVKOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201020081998
Current release5.4, July 20222.10.0, May 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoAGPL version 3, commercial license availableOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC#C and C++
Server operating systemsLinuxLinux
macOS
Raspberry Pi
Windows
BSD
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyes
Typing infopredefined data types such as float or datenonostring, double, decimal, uuid, integer, blob, boolean, datetimeyes
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 indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)Full-featured ANSI SQL supportyes
APIs and other access methodsCLI Client
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Open binary protocolJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesLua, C and SQL stored proceduresPL/SQL
Triggersyesyes, before/after data modification events, on replication events, client session eventsno
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.none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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.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
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes, write ahead loggingyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlyesAuthorization levels configured per client per databaseAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
fine grained access rights according to SQL-standard

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More resources
BigchainDBRavenDBTarantoolTimesTen
DB-Engines blog posts

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

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