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DBMS > Apache IoTDB vs. InfinityDB vs. SAP SQL Anywhere vs. WakandaDB vs. YDB

System Properties Comparison Apache IoTDB vs. InfinityDB vs. SAP SQL Anywhere vs. WakandaDB vs. YDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonWakandaDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA Java embedded Key-Value Store which extends the Java Map interfaceRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSKey-value storeRelational DBMSObject oriented DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteiotdb.apache.orgboilerbay.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwakanda.github.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlboilerbay.com/­infinitydb/­manualhelp.sap.com/­docs/­SAP_SQL_Anywherewakanda.github.io/­docydb.tech/­en/­docs
DeveloperApache Software FoundationBoiler Bay Inc.SAP infoformerly SybaseWakanda SASYandex
Initial release20182002199220122019
Current release1.1.0, April 20234.017, July 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoAGPLv3, extended commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, JavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes
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.nonoyesnono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSQL-like query languagenoyesnoSQL-like query language (YQL)
APIs and other access methodsJDBC
Native API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
HTTP API
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnoyes, in C/C++, Java, .Net or Perlyesno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneSource-replica replication infoDatabase mirroringnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardyesAccess rights defined for Yandex Cloud users

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More resources
Apache IoTDBInfinityDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereWakandaDBYDB
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