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DBMS > PouchDB vs. SingleStore vs. SwayDB vs. Vertica vs. XTDB

System Properties Comparison PouchDB vs. SingleStore vs. SwayDB vs. Vertica vs. XTDB

Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSwayDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionJavaScript 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 typeAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageCloud 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.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMS infoColumn orientedDocument store
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
Score2.28
Rank#115  Overall
#21  Document stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitepouchdb.comwww.singlestore.comswaydb.simer.auwww.vertica.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationpouchdb.com/­guidesdocs.singlestore.comvertica.com/­documentationwww.xtdb.com/­docs
DeveloperApache Software FoundationSingleStore Inc.Simer PlahaOpenText infopreviously Micro Focus and Hewlett PackardJuxt Ltd.
Initial release20122013201820052019
Current release7.1.1, June 20198.5, January 202412.0.3, January 20231.19, September 2021
License infoCommercial or Open SourceOpen Sourcecommercial infofree developer edition availableOpen Source infoGNU Affero GPL V3.0commercial infoLimited community edition freeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
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++, GoScalaC++Clojure
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version requiredLinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
Typing infopredefined data types such as float or datenoyesnoyesyes, extensible-data-notation format
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 indexesyes infovia viewsyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.limited SQL, making use of Apache Calcite
APIs and other access methodsHTTP 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
HTTP REST
JDBC
Supported programming languagesJavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
Java
Kotlin
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresView functions in JavaScriptyesnoyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersyesnonoyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioningnonehorizontal partitioning, hierarchical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 nodesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan define user-defined aggregate functions for map-reduce-style calculationsnono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes 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.yesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoFine grained access control via users, groups and rolesnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
PouchDBSingleStore infoformer name was MemSQLSwayDBVertica infoOpenText™ Vertica™XTDB infoformerly named Crux
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...
» more

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More resources
PouchDBSingleStore infoformer name was MemSQLSwayDBVertica infoOpenText™ Vertica™XTDB infoformerly named Crux
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