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DBMS > AnzoGraph DB vs. Axibase vs. LMDB vs. Microsoft Azure Synapse Analytics vs. Netezza

System Properties Comparison AnzoGraph DB vs. Axibase vs. LMDB vs. Microsoft Azure Synapse Analytics vs. Netezza

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAxibase  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationA high performant, light-weight, embedded key-value database libraryElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMS
RDF store
Time Series DBMSKey-value storeRelational DBMSRelational 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
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitecambridgesemantics.com/­anzographaxibase.com/­docs/­atsd/­financewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezza
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.lmdb.tech/­docdocs.microsoft.com/­azure/­synapse-analytics
DeveloperCambridge SemanticsAxibase CorporationSymasMicrosoftIBM
Initial release20182013201120162000
Current release2.3, January 2021155850.9.32, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsLinuxLinuxLinux
Unix
Windows
hostedLinux infoincluded in appliance
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes
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 indexesnononoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenoyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
Python
Go
Java
PHP
Python
R
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoTransact SQLyes
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnoyesUsers with fine-grained authorization concept

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More resources
AnzoGraph DBAxibaseLMDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBM
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