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DBMS > AnzoGraph DB vs. EJDB vs. Faircom DB vs. Spark SQL vs. YDB

System Properties Comparison AnzoGraph DB vs. EJDB vs. Faircom DB vs. Spark SQL vs. YDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonSpark SQL  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Spark SQL is a component on top of 'Spark Core' for structured data processingA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Document storeKey-value store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-dbspark.apache.org/­sqlgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperCambridge SemanticsSoftmotionsFairCom CorporationApache Software FoundationYandex
Initial release20182012197920142019
Current release2.3, January 2021V12, November 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGPLv2commercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++Scala
Server operating systemsLinuxserver-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeschema free, schema optional, schema required, partial schema,yesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structuresyesyes
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 indexesnonoyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes, ANSI SQL with proprietary extensionsSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
in-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Java
Python
R
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes info.Net, JavaScript, C/C++nono
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).noneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnotunable from ACID to Eventually ConsistentnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesYes, 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.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesnoFine grained access rights according to SQL-standard with additional protections for filesnoAccess rights defined for Yandex Cloud users

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More resources
AnzoGraph DBEJDBFaircom DB infoformerly c-treeACESpark SQLYDB
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