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DBMS > LeanXcale vs. TinkerGraph vs. Vitess vs. YugabyteDB

System Properties Comparison LeanXcale vs. TinkerGraph vs. Vitess vs. YugabyteDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVitess  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIScalable, distributed, cloud-native DBMS, extending MySQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.leanxcale.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvitess.iowww.yugabyte.com
Technical documentationvitess.io/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperLeanXcaleThe Linux Foundation, PlanetScaleYugabyte Inc.
Initial release2015200920132017
Current release15.0.2, December 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses availableOpen Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJavaGoC and C++
Server operating systemsDocker
Linux
macOS
Linux
OS X
Data schemeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLyes infothrough Apache Derbynoyes infowith proprietary extensionsyes, PostgreSQL compatible
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
TinkerPop 3ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC
Java
Scala
Groovy
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxyes infosql, plpgsql, C
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at shard levelDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesnoyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesoptionalyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesyes
More information provided by the system vendor
LeanXcaleTinkerGraphVitessYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
LeanXcaleTinkerGraphVitessYugabyteDB
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