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DBMS > BoltDB vs. Hawkular Metrics vs. Hazelcast vs. ScyllaDB

System Properties Comparison BoltDB vs. Hawkular Metrics vs. Hazelcast vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonHazelcast  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A widely adopted in-memory data gridCassandra and DynamoDB compatible wide column store
Primary database modelKey-value storeTime Series DBMSKey-value storeWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitegithub.com/­boltdb/­boltwww.hawkular.orghazelcast.comwww.scylladb.com
Technical documentationwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehazelcast.org/­imdg/­docsdocs.scylladb.com
DeveloperCommunity supported by Red HatHazelcastScyllaDB
Initial release2013201420082015
Current release5.3.6, November 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoOpen Source (AGPL), commercial license 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoJavaJavaC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
All OS with a Java VMLinux
Data schemeschema-freeschema-freeschema-freeschema-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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnonoyesyes infocluster global secondary indices
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP RESTJCache
JPA
Memcached protocol
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesGoGo
Java
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor Servicesyes, Lua
Triggersnoyes infovia Hawkular Alertingyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayes infoReplicated Mapselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoone or two-phase-commit; repeatable reads; read commitedno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoin-memory tables
User concepts infoAccess controlnonoRole-based access controlAccess rights for users can be defined per object
More information provided by the system vendor
BoltDBHawkular MetricsHazelcastScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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BoltDBHawkular MetricsHazelcastScyllaDB
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