Historian
Historian empowers energy companies to navigate the intricacies of the energy transition by utilizing artificial intelligence for real-time insights and outcome analysis. This software orchestrates the management of diverse energy sources, enabling optimal decision-making and emissions accuracy, essential for achieving net zero goals amidst complexities and uncertainties in the ecosystem.
Top Historian Alternatives
StackScan
Curious about a website’s technology stack? Use StackScan to explore 50,000+ technologies across 450+ categories of stacks.
Bitsy
Bitsy is a compact, efficient in-memory graph database that adheres to the Blueprints API, offering robust performance for developers. Packaged as a JAR file, it integrates smoothly with projects via Maven. Bitsy supports various configurations, including durable and memory-only options, making it versatile for diverse application requirements.
SAS Event Stream Processing
SAS Event Stream Processing empowers organizations to harness fast-moving data from various sources, including IoT devices and transactions. It seamlessly integrates streaming data quality with advanced analytics, enabling users to filter, cleanse, and analyze vast amounts of data in real-time, facilitating agile decision-making and operational efficiency across diverse industries.
CA IDMS
CA IDMS is a web-enabled, high-performance relational database management system designed for mainframes, offering robust scalability and security. It enables users to efficiently access and analyze data, automate processes, and optimize performance. With support for mobile, cloud, and analytics, it meets growing business demands while minimizing costs.
TokuMX
TokuMX is an enterprise-grade, open-source MongoDB solution that enhances performance without licensing fees. Bundled with Percona Server for MongoDB and Percona Backup for MongoDB, it supports cloud-native applications, ensures data protection, and offers flexible backup options. Ideal for businesses needing robust, scalable database management without vendor lock-in.
IBM Infosphere Optim
IBM InfoSphere® Optim™ solutions expertly manage data throughout its lifecycle, enhancing performance and collaboration while ensuring robust governance. By extracting and archiving data, organizations can streamline software testing and reduce costs. Additionally, advanced data privacy measures safeguard sensitive information, allowing businesses to meet regulatory requirements and minimize risks effectively.
Cloudera Data Flow
Cloudera Data Flow is a cloud-native service leveraging Apache NiFi for seamless data distribution across hybrid environments. With over 450 agnostic connectors, it enables effortless movement of diverse data types from any source to destination. Its no-code self-service capabilities enhance agility, while auto-scaling features optimize performance and costs.
IBM Compose for JanusGraph
IBM Compose for JanusGraph is a fully-managed, cloud-based database service designed for high-performance, scalable graph data management. It empowers developers and IT teams to efficiently create, visualize, and analyze complex data relationships without the burden of infrastructure maintenance, allowing them to focus on innovation and application development. With robust security features and seamless integration, it supports a variety of applications across diverse industries.
CA Database Management for DB2 for z/OS
CA Database Management for DB2 for z/OS provides robust tools to maintain the integrity of Db2 databases, systems, and applications. It enhances performance monitoring and optimization while ensuring data accuracy and security. With its advanced capabilities, organizations can streamline database operations and ensure reliable access to critical information.
IBM Compose for MongoDB
IBM Cloud Databases for MongoDB offers developers an efficient way to leverage MongoDB’s robust features, including JSON document support and multi-document transactions. This fully managed service ensures high availability, automatic backups, and data encryption, enabling users to focus on application development while maintaining regulatory compliance and security.
ClickHouse
At the forefront of data analysis, ClickHouse is an open-source OLAP database management system that processes vast amounts of data in real-time. With remarkable speed, it handles hundreds of millions to over a billion rows per second, optimizing hardware for peak performance and ensuring resilience through multi-master replication across multiple datacenters.
IBM Compose for ScyllaDB
IBM Compose for ScyllaDB empowers organizations to harness real-time data insights with ease. By providing a robust database solution, it facilitates rapid deployment and scaling of applications. This product enhances operational efficiency while ensuring data security, enabling teams to analyze and interpret meaningful patterns without compromising performance.
Rocket D3
Rocket D3 is a high-performance, non-SQL database management system designed for speed and flexibility, making it ideal for mission-critical applications in various industries like banking and healthcare. With a focus on seamless integration across cloud and on-premises environments, D3 streamlines operations while reducing costs and enhancing data management efficiency.
IBM Compose for PostgreSQL
IBM Cloud Databases for PostgreSQL offers a fully managed solution designed for high-performance applications, featuring enhanced JSON support and improved query parallelism. It manages backups, monitoring, and scaling, ensuring data security with encryption and compliance. Ideal for building scalable applications, it seamlessly integrates with Kubernetes and analytics tools for actionable insights.
XAP
XAP delivers unparalleled speed and scalability for distributed caching across any operational data source. Optimized for real-time data and complex queries, it supports advanced indexing and ensures strong data consistency. The platform automatically manages scaling and simplifies data mapping, enhancing performance without downtime or manual errors.
IBM BigInsights
IBM BigInsights empowers organizations to uncover valuable data patterns and insights efficiently. It facilitates rapid access to shared computing resources while ensuring robust security measures, enabling businesses to adapt and thrive. Designed for hybrid cloud and AI strategies, it supports both public and private deployments on Red Hat OpenShift clusters.
Historian Review and Overview
Proficy Historian from GE Digital is a great solution among the line of historian software. The software will collect data from industrial time-series and aid with analyzing and performance processing of this data.
Proficy Historian Overview
It is more popular as an Industrial IoT software, with the latest version Proficy Historian 8.0. This latest version includes a hub asset mapping and trend analyzer. This data is fully centralized over the cloud. The setup allows us to achieve faster tag searches in web clients. The footprints have better handling for data redundancy. It also reduces the storage costs, has HDFS ingestion, and access big data analytics.
The data analysis is offered fully contextual with their run-time analysis app. Combined with its operational hub application, it has an extensive model context with data visualization. The data security is also prioritized by common/shared UAA authentication, which also allows control over the data addition from other products. The entire Historian setup is simple to use. It has integrated REST API to support multiple query results. With MQTT collector and broker, data communication and configuration become faster. Connecting IIoT becomes a lot easier with this interface.
Proficy Historian Services
Proficy Historian delivers operations hub servers and supports with an HTML5 run-time tool called Historian Analysis. This includes map tags, trend analysis, annotations, and asset modeling. The interface can also be added with an Excel plugin. It has advanced API for query results, write tags, renaming, and Java APIs too. As a part of its older interface, Historian 8.0 also provides Open JDK, OPC HDA, bi-model ODBC, and an enhanced PI Collector.
It has a patented deployable mirrored architecture. Historian has also included an Alarms & Events notification DB. The centralized panel has a comprehensive diagnostic engine, which can be controlled via a single browser interface. Along with this, they have added UAA/OAuth2 security tokens, multi-threads, predix cloud, and Cloudera certification too. Overall, GE Digital’s Proficy Historian has proved quite well as industrial IoT Database manager software.
Company Information
- Company: GE
- Country: United States
Top Historian Features
- Real-time data analytics
- AI-driven insights
- Multi-source energy management
- Emission tracking capabilities
- Predictive maintenance tools
- Scenario modeling functions
- Advanced reporting features
- Integration with IoT devices
- User-friendly dashboard interface
- Customizable data visualization
- Historical data analysis
- Automated decision-making support
- Energy consumption forecasting
- Compliance and regulation tracking
- Remote monitoring solutions
- Collaborative data sharing tools
- Cost optimization algorithms
- Risk assessment functionalities
- Adaptive learning mechanisms
- Cross-sector compatibility
