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DBMS > AlaSQL vs. Datomic vs. Ehcache vs. Vertica

System Properties Comparison AlaSQL vs. Datomic vs. Ehcache vs. Vertica

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDatomic  Xexclude from comparisonEhcache  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionJavaScript DBMS libraryDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA widely adopted Java cache with tiered storage optionsCloud 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
Relational DBMSKey-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
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitealasql.orgwww.datomic.comwww.ehcache.orgwww.vertica.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.datomic.comwww.ehcache.org/­documentationvertica.com/­documentation
DeveloperAndrey Gershun & Mathias R. WulffCognitectTerracotta Inc, owned by Software AGOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2014201220092005
Current release1.0.7075, December 20233.10.0, March 202212.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses 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

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Implementation languageJavaScriptJava, ClojureJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMAll OS with a Java VMLinux
Data schemeschema-freeyesschema-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 datenoyesyesyes
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 indexesnoyesnoNo 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.nonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJavaScript APIRESTful HTTP APIJCacheADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJavaScriptClojure
Java
JavaC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes, PostgreSQL PL/pgSQL, with minor differences
TriggersyesBy using transaction functionsyes infoCache Event Listenersyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infoby using Terracotta Serverhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyes infoby using Terracotta ServerMulti-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 methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlnononofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AlaSQLDatomicEhcacheVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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AlaSQLDatomicEhcacheVertica infoOpenText™ Vertica™
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