Best Data Management Software for OpenTSDB

VictoriaMetrics is a cost-effective, scalable monitoring solution that can also be used as a time series database. It can also be used to store Prometheus' long-term data. VictoriaMetrics is a single executable that does not have any external dependencies. All configuration is done using explicit command-line flags and reasonable defaults. It provides global query view. Multiple Prometheus instances, or other data sources, may insert data into VictoriaMetrics. Later this data may be queried via a single query. It can handle high cardinality and high churn rates issues by using a series limiter.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Circonus IRONdb makes it simple to store and manage unlimited volumes of Telemetry data. It can also handle billions of metric streams. Circonus IRONdb allows users to identify areas where there is opportunity and challenges in real-time. It provides forensic, predictive and automated analytics capabilities that are unmatched by any other product. Machine learning can automatically establish a "new norm" for your data and operations as they change. Circonus IRONdb is compatible with Grafana which supports our analytics query language. We also work with Graphite-web and other visualization apps. Circonus IRONdb protects your data by storing multiple copies in a cluster IRONdb nodes. Clustering is often managed by system administrators, who spend considerable time maintaining it and keeping the system running. Circonus IRONdb allows operators the ability to set and forget their cluster and stop manually managing their time series data stores.

Data is used to inform every aspect of a plant or facility. It is the basis for most operational processes, business decisions, and environmental events. This data is often blamed for failures, whether it's operator error, bad sensor, safety or environmental events or poor analytics. APERIO can help solve these problems. Data integrity is a critical element of Industry 4.0. It is the foundation on which more advanced applications such as predictive models and process optimization are built. APERIO DataWise provides reliable, trusted data. Automate the quality of PI data and digital twins at scale. Validated data is required across the enterprise in order to improve asset reliability. Empowering the operator to take better decisions. Detect threats to operational data in order to ensure operational resilience. Monitor & report sustainability metrics accurately.