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DBMS > Aerospike vs. Alibaba Cloud Log Service vs. HEAVY.AI

System Properties Comparison Aerospike vs. Alibaba Cloud Log Service vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAerospike infopreviously called Citrusleaf  Xexclude from comparisonAlibaba Cloud Log Service  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
DescriptionFlash-optimized In-memory NoSQL DatabaseA complete real-time data logging service that supports collection, consumption, shipping, search, and analysis of logs.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelDocument store
Key-value store
Spatial DBMS
Search engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.56
Rank#65  Overall
#12  Document stores
#7  Key-value stores
#2  Spatial DBMS
Score0.31
Rank#322  Overall
#22  Search engines
Score2.68
Rank#123  Overall
#61  Relational DBMS
Websiteaerospike.comwww.alibabacloud.com/­product/­log-servicegithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.aerospike.comwww.alibabacloud.com/­help/­product/­28958.htmdocs.heavy.ai
Social network pagesLinkedInTwitterFacebook
DeveloperAerospikeAlibabaCloud Inc.HEAVY.AI, Inc.
Initial release201220162016
Current release6.0.0.0, April 20225.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++ and CUDA
Server operating systemsLinuxhostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLnoSQL for queryingyes
APIs and other access methodsJDBC
Proprietary protocol
HTTP RESTJDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresuser defined functions infowith Luanono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor3 replicasMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoAerospike Aggregation Framework is similar to Map/ReduceES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and roles infowith Enterprise Edition onlyAlibaba Cloud user access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Aerospike infopreviously called CitrusleafAlibaba Cloud Log ServiceHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» more
A real-time service for telementry data (log, metric, trace). Alibaba Cloud Log Service...
» more
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» more
* Ease of use: Completes data collections from more than 30 data sources within five...
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Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» more
* Log/Trace/Event Search & Analysis * Application Monitoring * Operation Analysis...
» more
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» more
* Alibaba & Ant-Finance:he infrastructure service for the Corp * Over 22k Subscriber...
» more
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» more
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» more
Pay-As-You-Go https://www.alibabacloud.com/product/log-service/pricing
» more
News

Real-time Data Platform Leader Releases Aerospike Connect for Elasticsearch
18 January 2023

Aerospike 6 on AWS Graviton2 Delivers 1.6x Improvement in Price-Performance
16 November 2022

Aerospike Announces Early Availability of Aerospike Cloud
2 November 2022

Aerospike Appoints Martin James to Lead EMEA
14 September 2022

Aerospike Named to Inc. 5000 List of Fastest-growing Companies in America
17 August 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Aerospike infopreviously called CitrusleafAlibaba Cloud Log ServiceHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
DB-Engines blog posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17 March 2020,  Srini Srinivasan, Aerospike (sponsor) 

show all

Conferences and events

New Frontiers in SQL: Using Real-time Data and Document Databases in a Data Mesh
Webinar, 15 November 2022 (finished)

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