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DBMS > JanusGraph vs. NSDb vs. Tarantool vs. YDB

System Properties Comparison JanusGraph vs. NSDb vs. Tarantool vs. YDB

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonNSDb  Xexclude from comparisonTarantool  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMSTime Series DBMSDocument store
Key-value store
Relational DBMS
Document store
Relational DBMS
Secondary database modelsSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitejanusgraph.orgnsdb.iowww.tarantool.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.janusgraph.orgnsdb.io/­Architecturewww.tarantool.io/­en/­docydb.tech/­en/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusVKYandex
Initial release2017201720082019
Current release0.6.3, February 20232.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaC and C++
Server operating systemsLinux
OS X
Unix
Windows
Linux
macOS
BSD
Linux
macOS
Linux
Data schemeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columnsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringstring, 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.nononono
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL supportSQL-like query language (YQL)
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
gRPC
HTTP REST
WebSocket
Open binary protocolRESTful HTTP API (DynamoDB compatible)
Supported programming languagesClojure
Java
Python
Java
Scala
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnoLua, C and SQL stored proceduresno
Triggersyesyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Active-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyCasual 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
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, 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 infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, HazelcastUsing Apache Luceneyes, write ahead loggingyes
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 persistenceno
User concepts infoAccess controlUser authentification and security via Rexster Graph ServerAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Access rights defined for Yandex Cloud users

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More resources
JanusGraph infosuccessor of TitanNSDbTarantoolYDB
DB-Engines blog posts

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

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