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DBMS > AnzoGraph DB vs. PouchDB vs. SingleStore vs. Vertica

System Properties Comparison AnzoGraph DB vs. PouchDB vs. SingleStore vs. Vertica

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonPouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationJavaScript DBMS with an API inspired by CouchDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score2.28
Rank#115  Overall
#21  Document stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitecambridgesemantics.com/­anzographpouchdb.comwww.singlestore.comwww.vertica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmpouchdb.com/­guidesdocs.singlestore.comvertica.com/­documentation
DeveloperCambridge SemanticsApache Software FoundationSingleStore Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release2018201220132005
Current release2.3, January 20217.1.1, June 20198.5, January 202412.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Sourcecommercial infofree developer edition availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaScriptC++, GoC++
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version requiredLinux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyes infovia viewsyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infobut no triggers and foreign keysFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC++
Java
Python
JavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesView functions in JavaScriptyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesnoFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AnzoGraph DBPouchDBSingleStore infoformer name was MemSQLVertica infoOpenText™ Vertica™
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metricsCustomers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
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Cost-based models and subscription-based models are both available. One license is...
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More resources
AnzoGraph DBPouchDBSingleStore infoformer name was MemSQLVertica infoOpenText™ Vertica™
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