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DBMS > AlaSQL vs. etcd vs. Vertica

System Properties Comparison AlaSQL vs. etcd vs. Vertica

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonetcd  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionJavaScript DBMS libraryA distributed reliable key-value storeCloud 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 modelDocument store
Relational DBMS
Key-value storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#258  Overall
#40  Document stores
#119  Relational DBMS
Score7.66
Rank#55  Overall
#6  Key-value stores
Score11.76
Rank#44  Overall
#28  Relational DBMS
Websitealasql.orgetcd.io
github.com/­etcd-io/­etcd
www.vertica.com
Technical documentationgithub.com/­AlaSQL/­alasqletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
vertica.com/­documentation
DeveloperAndrey Gershun & Mathias R. WulffOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20142005
Current release3.4, August 201912.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono 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.
Implementation languageJavaScriptGoC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
Windows infoexperimental
Linux
Data schemeschema-freeschema-freeYes, 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 datenonoyes
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.nonono
Secondary indexesnonoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJavaScript APIgRPC
JSON over HTTP
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaScript.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyes, watching key changesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-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 methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AlaSQLetcdVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
AlaSQLetcdVertica infoOpenText™ Vertica™
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