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DBMS > AnzoGraph DB vs. Cassandra vs. Microsoft Azure Synapse Analytics vs. Redis vs. SAP SQL Anywhere

System Properties Comparison AnzoGraph DB vs. Cassandra vs. Microsoft Azure Synapse Analytics vs. Redis vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCassandra  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRedis  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelGraph DBMS
RDF store
Wide column storeRelational DBMSKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#24  Graph DBMS
#13  RDF stores
Score104.59
Rank#12  Overall
#1  Wide column stores
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score157.00
Rank#6  Overall
#1  Key-value stores
Score4.89
Rank#77  Overall
#42  Relational DBMS
Websitecambridgesemantics.com/­anzographcassandra.apache.orgazure.microsoft.com/­services/­synapse-analyticsredis.com
redis.io
www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcassandra.apache.org/­doc/­latestdocs.microsoft.com/­azure/­synapse-analyticsdocs.redis.com/­latest/­index.html
redis.io/­docs
help.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCambridge SemanticsApache Software Foundation infoApache top level project, originally developped by FacebookMicrosoftRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.SAP infoformerly Sybase
Initial release20182008201620091992
Current release2.3, January 20214.1.3, July 20237.2.4, January 202417, July 2015
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache version 2commercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Astra DB: Multi-cloud DBaaS built on Apache Cassandra.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJavaC++C
Server operating systemsLinuxBSD
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.nonononoyes
Secondary indexesnorestricted infoonly equality queries, not always the best performing solutionyesyes infowith RediSearch moduleyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like SELECT, DML and DDL statements (CQL)yeswith RediSQL moduleyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
ADO.NET
JDBC
ODBC
proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC++
Java
Python
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoTransact SQLLua; Redis Functions coming in Redis 7 (slides and Github)yes, in C/C++, Java, .Net or Perl
Triggersnoyesnopublish/subscribe channels provide some trigger functionality; RedisGearsyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infono "single point of failure"Sharding, horizontal partitioningSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
Source-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnothrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDAtomic execution of command blocks and scripts and optimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectyesAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
fine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBCassandraMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRedisSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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