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DBMS > AnzoGraph DB vs. Faircom DB vs. Informix vs. NSDb vs. Splice Machine

System Properties Comparison AnzoGraph DB vs. Faircom DB vs. Informix vs. NSDb vs. Splice Machine

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonInformix  Xexclude from comparisonNSDb  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.faircom.com/­products/­faircom-dbwww.ibm.com/­products/­informixnsdb.iosplicemachine.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
nsdb.io/­Architecturesplicemachine.com/­how-it-works
DeveloperCambridge SemanticsFairCom CorporationIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Splice Machine
Initial release20181979198420172014
Current release2.3, January 2021V12, November 202014.10.FC5, November 20203.1, March 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoRestricted, free version availablecommercial infofree developer edition availableOpen Source infoApache Version 2.0Open Source infoAGPL 3.0, 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 languageANSI C, C++C, C++ and JavaJava, ScalaJava
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema free, schema optional, schema required, partial schema,yesyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyes infoSince Version 12.10 support for JSON/BSON datatypesyes: int, bigint, decimal, stringyes
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.nonono
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, ANSI SQL with proprietary extensionsyesSQL-like query languageyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes info.Net, JavaScript, C/C++yesnoyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes, 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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoYes, via Full Spark Integration
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesFine grained access rights according to SQL-standard with additional protections for filesUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users, groups and roles according to SQL-standard

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More resources
AnzoGraph DBFaircom DB infoformerly c-treeACEInformixNSDbSplice Machine
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