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DBMS > eXtremeDB vs. Faircom DB vs. Neo4j vs. Prometheus

System Properties Comparison eXtremeDB vs. Faircom DB vs. Neo4j vs. Prometheus

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonNeo4j  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitewww.mcobject.comwww.faircom.com/­products/­faircom-dbneo4j.comprometheus.io
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlneo4j.com/­docsprometheus.io/­docs
DeveloperMcObjectFairCom CorporationNeo4j, Inc.
Initial release2001197920072015
Current release8.2, 2021V13, July 20245.23, August 2024
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoGPL version3, 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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC and C++ANSI C, C++Java, ScalaGo
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Windows
Data schemeyesschema free, schema optional, schema required, partial schema,schema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesNumeric data only
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 infosupport of XML interfaces availablenono infoImport of XML data possible
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyes, ANSI SQL with proprietary extensionsnono
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyes info.Net, JavaScript, C/C++yes infoUser defined Procedures and Functionsno
Triggersyes infoby defining eventsyesyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Causal Clustering using Raft protocol infoavailable in in Enterprise Version onlyyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
none
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
eXtremeDBFaircom DB infoformerly c-treeACENeo4jPrometheus
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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