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DBMS > AlaSQL vs. CrateDB vs. GeoMesa vs. Hazelcast

System Properties Comparison AlaSQL vs. CrateDB vs. GeoMesa vs. Hazelcast

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonCrateDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionJavaScript DBMS libraryDistributed Database based on LuceneGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A widely adopted in-memory data grid
Primary database modelDocument store
Relational DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Spatial DBMSKey-value store
Secondary database modelsRelational DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Websitealasql.orgcratedb.comwww.geomesa.orghazelcast.com
Technical documentationgithub.com/­AlaSQL/­alasqlcratedb.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlhazelcast.org/­imdg/­docs
DeveloperAndrey Gershun & Mathias R. WulffCrateCCRi and othersHazelcast
Initial release2014201320142008
Current release4.0.5, February 20245.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaScriptJavaScalaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VM
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
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.nononoyes infothe object must implement a serialization strategy
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes, but no triggers and constraints, and PostgreSQL compatibilitynoSQL-like query language
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesJavaScript.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions (Javascript)noyes infoEvent Listeners, Executor Services
Triggersyesnonoyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdepending on storage layerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable replication on table/partition-leveldepending on storage layeryes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read-after-write consistency on record level
depending on storage layerImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageno infounique row identifiers can be used for implementing an optimistic concurrency control strategynoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnodepending on storage layeryes
User concepts infoAccess controlnorights management via user accountsyes infodepending on the DBMS used for storageRole-based access control
More information provided by the system vendor
AlaSQLCrateDBGeoMesaHazelcast
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
AlaSQLCrateDBGeoMesaHazelcast
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