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DBMS > AllegroGraph vs. etcd vs. Faircom DB vs. Qdrant vs. YugabyteDB

System Properties Comparison AllegroGraph vs. etcd vs. Faircom DB vs. Qdrant vs. YugabyteDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonetcd  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonQdrant  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed reliable key-value storeNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A high-performance vector database with neural network or semantic-based matchingHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeKey-value store
Relational DBMS
Vector DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websiteallegrograph.cometcd.io
github.com/­etcd-io/­etcd
www.faircom.com/­products/­faircom-dbgithub.com/­qdrant/­qdrant
qdrant.tech
www.yugabyte.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlqdrant.tech/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperFranz Inc.FairCom CorporationQdrantYugabyte Inc.
Initial release2004197920212017
Current release8.0, December 20233.4, August 2019V12, November 20202.19, September 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageGoANSI C, C++RustC and C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
Windows infoexperimental
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Docker
Linux
macOS
Windows
Linux
OS X
Data schemeyes infoRDF schemasschema-freeschema free, schema optional, schema required, partial schema,schema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnoyes, ANSI SQL Types, JSON, typed binary structuresNumbers, Strings, Geo, Booleanyes
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.no infobulk load of XML files possiblenononono
Secondary indexesyesnoyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes, ANSI SQL with proprietary extensionsnoyes, PostgreSQL compatible
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC
JSON over HTTP
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
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#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes info.Net, JavaScript, C/C++yes infosql, plpgsql, C
Triggersyesyes, watching key changesyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Collection-level replicationBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency, tunable consistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnotunable from ACID to Eventually ConsistentDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesYes, tunable from durable to delayed durability to in-memoryyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoFine grained access rights according to SQL-standard with additional protections for filesKey-based authenticationyes
More information provided by the system vendor
AllegroGraphetcdFaircom DB infoformerly c-treeACEQdrantYugabyteDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
PostgreSQL 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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