RAZORSQL MONEY TYPE SERIES

RAZORSQL MONEY TYPE SERIES

InfluxDB’s flexible architecture fits any implementation - whether in the cloud, at the edge or on-premises - and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure - seamlessly collecting, storing, visualizing, and turning insight into action. Found in over 30,000,000 deployments, from routers to satellites and trains to stock market world-wide. It can be deployed as an embedded system and/or as a clients/server database system.ĮXtremeDB was designed for use in resource-constrained, mission-critical embedded systems. eXtremeDB provides data management that is fast and flexible wherever you need it. eXtremeDB supports database designs which combine column-based and row-based layouts in order to maximize the CPU cache speed. Row and columnar flexibility for time series data. edge-to-gateway-to-gateway-to-cloud), compression to maximize limited bandwidth networks and more. They can also have a mix between persistent tables and in-memory table.ĮXtremeDB's Active Replication Fabric™, which is unique to eXtremeDB, offers bidirectional replication and multi-tier replication (e.g. Unlike other IMDS databases, eXtremeDB databases are all-in-memory or all-persistent. What makes eXtremeDB platform independent? The Analytics Engine can be implemented within a large number of existing tools and ecosystems such as Spark, Kafka Streams, Hadoop, Jupyter, Zeppelin and many more.įrom small devices to distributed clusters, Warp 10 fits your needs at any scale, and can be used in many verticals: industry, transportation, health, monitoring, finance, energy, etc. The Platform is GDPR compliant and secure by design using cryptographic tokens to manage authentication and authorization. It will allow you to make: statistics, extraction of characteristics for training models, filtering and cleaning of data, detection of patterns and anomalies, synchronization or even forecasts. Warp 10 offers both a time series database and a powerful analysis environment, which can be used together or independently. Shaped for the IoT with a flexible data model, Warp 10 provides a unique and powerful framework to simplify your processes from data collection to analysis and visualization, with the support of geolocated data in its core model (called Geo Time Series). Warp 10 is a modular open source platform that collects, stores, and allows you to analyze time series and sensor data. Fault-tolerant architecture allows for server failures to be avoided. Druid automatically balances servers as you add or remove servers. Time-based queries are much faster than traditional databases. Druid intelligently divides data based upon time. Connectors out-of-the box for Apache Kafka and HDFS, AWS S3, stream processors, and many more. Druid creates indexes that are inverted for string values to allow for fast search and filter. This allows for fast scans, ranking, groupBys, and groupBys. Druid compresses and stores each column separately, so it only needs to read the ones that are needed for a specific query.

Druid combines key characteristics from each of these systems into its ingestion, storage format, querying, and core architecture. Druid's core design blends ideas from data warehouses and timeseries databases to create a high-performance real-time analytics database that can be used for a wide range of purposes. Apache Druid, an open-source distributed data store, is Apache Druid.

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