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DBMS > atoti vs. Ehcache vs. QuestDB vs. VictoriaMetrics

System Properties Comparison atoti vs. Ehcache vs. QuestDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonEhcache  Xexclude from comparisonQuestDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A widely adopted Java cache with tiered storage optionsA high performance open source SQL database for time series dataA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelObject oriented DBMSKey-value storeTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteatoti.iowww.ehcache.orgquestdb.iovictoriametrics.com
Technical documentationdocs.atoti.iowww.ehcache.org/­documentationquestdb.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperActiveViamTerracotta Inc, owned by Software AGQuestDB Technology IncVictoriaMetrics
Initial release200920142018
Current release3.10.0, March 2022v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoApache Version 2.0
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.
Implementation languageJavaJavaJava (Zero-GC), C++, RustGo
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes
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 indexesnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL with time-series extensionsno
APIs and other access methodsJCacheHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJavaC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresPythonnonono
Triggersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoby using Terracotta Serverhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replication with eventual consistencySynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infothrough memory mapped filesno
User concepts infoAccess controlno
More information provided by the system vendor
atotiEhcacheQuestDBVictoriaMetrics
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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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
atotiEhcacheQuestDBVictoriaMetrics
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