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DBMS > Amazon Redshift vs. AnzoGraph DB vs. Datomic vs. Graphite vs. RocksDB

System Properties Comparison Amazon Redshift vs. AnzoGraph DB vs. Datomic vs. Graphite vs. RocksDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Websiteaws.amazon.com/­redshiftcambridgesemantics.com/­anzographwww.datomic.comgithub.com/­graphite-project/­graphite-webrocksdb.org
Technical documentationdocs.aws.amazon.com/­redshiftdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comgraphite.readthedocs.iogithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazon (based on PostgreSQL)Cambridge SemanticsCognitectChris DavisFacebook, Inc.
Initial release20122018201220062013
Current release2.3, January 20211.0.6735, June 20238.11.4, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, ClojurePythonC++
Server operating systemshostedLinuxAll OS with a Java VMLinux
Unix
Linux
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyno
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.nonononono
Secondary indexesrestrictednoyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSPARQL and SPARQL* as primary query language. Cypher preview.nonono
APIs and other access methodsJDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIHTTP API
Sockets
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Python
Clojure
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions and aggregatesyes infoTransaction Functionsnono
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingnone infoBut extensive use of caching in the application peersnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistencynone
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesnonono

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
Amazon RedshiftAnzoGraph DBDatomicGraphiteRocksDB
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