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DBMS > Amazon DocumentDB vs. EXASOL vs. GeoSpock vs. Manticore Search vs. QuestDB

System Properties Comparison Amazon DocumentDB vs. EXASOL vs. GeoSpock vs. Manticore Search vs. QuestDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGeoSpock  Xexclude from comparisonManticore Search  Xexclude from comparisonQuestDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Spatial and temporal data processing engine for extreme data scaleMulti-storage database for search, including full-text search.A high performance open source SQL database for time series data
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsTime Series DBMSTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­documentdbwww.exasol.comgeospock.commanticoresearch.comquestdb.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.exasol.com/­resourcesmanual.manticoresearch.comquestdb.io/­docs
DeveloperExasolGeoSpockManticore SoftwareQuestDB Technology Inc
Initial release2019200020172014
Current release2.0, September 20196.0, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++Java (Zero-GC), C++, Rust
Server operating systemshostedhostedFreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesFixed schemayes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nononoCan index from XMLno
Secondary indexesyesyestemporal, categoricalyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)SQL-like query languageSQL with time-series extensions
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).Net
JDBC
ODBC
WebSocket
JDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
Lua
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functionsno
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSynchronous replication based on Galera librarySource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users can be defined per tableno
More information provided by the system vendor
Amazon DocumentDBEXASOLGeoSpockManticore SearchQuestDB
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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More resources
Amazon DocumentDBEXASOLGeoSpockManticore SearchQuestDB
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