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DBMS > Apache Kylin vs. BoltDB vs. Datomic vs. Faircom DB vs. Vitess

System Properties Comparison Apache Kylin vs. BoltDB vs. Datomic vs. Faircom DB vs. Vitess

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitekylin.apache.orggithub.com/­boltdb/­boltwww.datomic.comwww.faircom.com/­products/­faircom-dbvitess.io
Technical documentationkylin.apache.org/­docsdocs.datomic.comdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlvitess.io/­docs
DeveloperApache Software Foundation, originally contributed from eBay IncCognitectFairCom CorporationThe Linux Foundation, PlanetScale
Initial release20152013201219792013
Current release3.1.0, July 20201.0.6735, June 2023V12, November 202015.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infolimited edition freecommercial infoRestricted, free version availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, ClojureANSI C, C++Go
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Docker
Linux
macOS
Data schemeyesschema-freeyesschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesnoyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyes, ANSI SQL with proprietary extensionsyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGoClojure
Java
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyes info.Net, JavaScript, C/C++yes infoproprietary syntax
TriggersnoBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDtunable from ACID to Eventually ConsistentACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Yes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnonoFine grained access rights according to SQL-standard with additional protections for filesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache KylinBoltDBDatomicFaircom DB infoformerly c-treeACEVitess
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