CA Datacom Alternatives

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Standard connection drivers and built-in migration tools allow you to create and connect to your first database in just a few minutes.

Raima Database Manager is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS . Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments.

Quickly pinpoint performance issues with SolarWinds® Database Performance Analyzer (DPA) while providing expert advice with tuning advisors. Anomaly detection powered by machine learning allows DBAs to proactively optimize databases before small issues become big problems. Real-time analysis with 24/7 monitoring and automated alerts provides the time an error occurred instead of just knowing it was “sometime last week.” DPA helps ease the use of more than 20 cross-platform databases in hybrid, on-premises and cloud environments.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

ThinkSQL is a powerful, cross-platform relational database management system designed for modern operating systems and hardware. It aims to comply fully with the ISO SQL standard to provide an open and flexible SQL server for your applications. Compliance with the SQL standard means it supports transactions, sub-selects, views, set operators (union, except, intersect), access privileges and comprehensive referential constraints to ensure the integrity of your data. ThinkSQL uses a multi-versioning engine to provide consistent views of data and concurrent access to rows without locking. The server also has stored procedures and functions (using the standard syntax), and has support for large multimedia objects. It's easy to install, runs on Windows ® and Linux ®, and has native ODBC, JDBC™, dbExpress™ and Python drivers so your applications can connect directly from any platform.

CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core. Multi-volume support, automatic volume expansion, and unlimited number and size of databases/ tables/indexes.

Run your business from anywhere with relational database management system (RDBMS) solutions from SAP SQL Anywhere. Enable secure, reliable data management for servers where no DBA is available and synchronization for tens of thousands of mobile devices, Internet of Things (IoT) systems, and remote environments. Deliver critical business data to remote offices and mobile devices for more accurate, real-time decision-making at the front lines of your business. Run mobile applications reliably and efficiently without on-site technical staff, giving mobile and remote workers an always on experience, even when they are offline. Streamline data maintenance tasks with built-in self-managing features that help users resolve issues quickly and efficiently. Protect and secure your data, even during data transmission and exchange, with powerful encryption features.

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data.

RDS for MySQL (Relational Database Service for MySQL) is a professional high-performance and high-reliability relational cloud database service. It provides simple and convenient web interface management, reliable data backup and recovery features, and complete security management and monitoring service. RDS for MySQL provides a high-performance and high-reliability relational database service. It supports three series, i.e., stand-alone basic version, dual high-availability version, and Raft financial version. It supports the standard database protocol by default and implements monitoring, automatic failover, data backup and recovery, instance management, and other features. Furthermore, it meets the customers' higher requirements for data management and storage through slow SQL statistics and diagnosis and reliable services, such as cross-domain hot instance groups. It supports the disaster recovery of a single availability zone and disaster recovery across availability zones.

Tibero is a relational model-based standard DBMS that has been developed with stable architecture that requires minimal resources from the design step. It allows to efficiently respond to big data processing requests from massive sessions. In addition, it provides a flexible and user-friendly development and easy operating environment based on standards and compatibility. - Multi-Process, multi-thread architecture and various data processing technologies, which support reliable and effective resource management and rapidly process multi-user requests. 1. Shared-disk based active clustering that assures high availability and reliability. 2. Development environment compatibility in compliance with standards.

As data volumes grow faster than ever, businesses struggle to get answers. Teradata Vantage™ solves this problem. Vantage uses 100 percent of available data to uncover real-time business intelligence at scale, powering the new era of Pervasive Data Intelligence. See all data from across the entire organization in one place, whenever it's needed, with preferred languages and tools. Start small and elastically scale compute or storage in areas that impact modern architecture. Vantage unifies analytics, Data Lakes, and Data Warehouses, all in the cloud to enable business intelligence. The importance of business intelligence increases. Frustration stems from four key challenges that arise when using existing data analytics platforms: Lack of proper tools and supportive environment needed to achieve quality results. Organizations do not authorize or provide proper accessibility to the necessary tools. Data preparation is difficult.

IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor.

Fully managed and hosted PostgreSQL with high performance and all the extensions you want out of the box. Set up fully managed PostgreSQL in less than 10 minutes — directly from our web console or programmatically via our API, CLI, Terraform provider or Kubernetes operator. Our stand-by nodes act automatically as read replicas, and you can also create additional read replicas in different public clouds and regions, even building multi-cloud architectures. Our Point-In-Time-Recovery lets you restore your data to any time within your selected retention period. A fully managed SQL relational database, deployable in the cloud of your choice. Known for reliability, a robust set of features, and exceptionally high performance. Fits well for almost any case, such as creating location-based services, mission critical business applications or simply as a general transactional database.

The BASIS Database Management System (DBMS) provides the developer with relational access and high speed direct navigational access to their data. The BASIS DBMS provides robust and powerful functionality allowing developers the flexibility to combine powerful SQL statements and relational data access methods with the performance and control of navigational operations such as direct table and index access and direct table movement. In addition, the BASIS SQL engine enables developers to execute queries and other SQL statements from third party products. Combining these two powerful data access methods returns the result set from an SQL query or from a table opened directly on the server via the highly optimized BASIS ISAM database engine. The result is an easy-to-use interface that supports SQL commands and direct-result-set navigation, all in one integrated solution.

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.

Percona XtraDB Cluster (PXC) is a high availability, open-source, MySQL clustering solution that helps enterprises minimize unexpected downtime and data loss, reduce costs, and improve the performance and scalability of your database environments. PXC supports your critical business applications in the most demanding public, private, and hybrid cloud environments. Percona XtraDB Cluster (PXC) preserves, secures, and protects data and revenue streams by providing the highest level of availability for your business-critical applications. PXC helps you increase efficiency, eliminate license fees, and lower your total cost of investment, helping you meet budget constraints. Our integrated tools enable you to optimize, maintain, and monitor your cluster. This ensures you get the most out of your MySQL environment.

Scale as needed with no limits: Globally distributed, ACID-compliant database that automatically handles replicas, sharding, and transaction processing, so you can quickly scale to meet any usage pattern and ensure the success of your products. Cloud Spanner is built on Google’s dedicated network and battle-tested by Google services used by billions. It offers up to 99.999% availability with zero downtime for planned maintenance and schema changes. Do fewer thankless tasks with a simpler experience: IT Admins and DBAs are inundated with operating databases. With Cloud Spanner, creating or scaling a globally replicated database now takes a handful of clicks and reduces your cost of maintaining databases.

FrontBase was created to fill the need for a robust and scalable relational database server that was Internet-enabled, had no downtime, and required zero administration. FrontBase's speed, wide range of features, and flexible structure can give you a competitive edge. FrontBase is not only incredibly fast but is also a very scalable relational database server. Our customers use FrontBase to create everything from small personal databases to some of the largest enterprise-level databases in the world, yet without any need for expensive database administration staff. In business since 1996, FrontBase not only creates tools, but also mission critical applications, such as the Command and Control Center for the Copenhagen Police, a 24/7 emergency response system. With a dedicated Support division, and separate divisions for Tools, Core Development, and Professional Services, FrontBase is ready to help you achieve your goals with three offices around the world.

RDS for MySQL is a reliable and scalable cloud database service. You can deploy databases within minutes and stay focused on application development. Say goodbye to stressful database O&M once and for all. You can create a MySQL database in minutes with just a few clicks. RDS for MySQL facilitates software and hardware deployment and helps you manage your databases, including installing patches, monitoring metrics, dynamically scaling up or down, and failing over if needed. With optimized kernel thresholds, RDS for MySQL excels at handling massive amounts of concurrent requests. It outperforms the MySQL community edition. RDS for MySQL uses implicit primary keys to ensure almost zero delay of primary/standby replication. No data is lost even when your database is heavily loaded. As your storage requirements grow, you can easily provision 1 TB of storage for read replicas on-the-fly with zero downtime.

IBM Informix® is a fast and flexible database with the ability to seamlessly integrate SQL, NoSQL/JSON, and time series and spatial data. Its versatility and ease of use make Informix a preferred solution for a wide range of environments, from enterprise data warehouses to individual application development. Also, with its small footprint and self-managing capabilities, Informix is well suited for embedded data-management solutions. IoT data demands robust processing and integration capabilities. Informix offers a hybrid database system with minimal administrative requirements and memory footprint combined with powerful functionality. Key features make Informix ideal for multi-tiered architectures that require processing at the device level, at gateway layers and in the cloud. Native encryption to protect data at rest and in motion. Support for flexible schema, multiple APIs and configurations.

Postico is a database client. Postico can connect to a local PostgreSQL server running on your Mac, or to remote servers running on a different computer. If you want to install a local PostgreSQL server on your Mac, I recommend Postgres.app. Postgres.app starts a PostgreSQL server running locally on your Mac. The first time it starts it will automatically create a new data directory and set up an empty database. After a few moments, the server will be running and waiting for connections. Postgres.app can't start when another PostgreSQL server is already running on your computer. If you run into problems, make sure to deactivate or uninstall other PostgreSQL installations. Reboot your computer after uninstalling! To connect to a PostgreSQL server with Postico, you must first create a favorite. A favorite contains parameters for connecting to a server. Some connection parameters are optional.

Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the MonetDB community spread over 130+ countries with students, teachers, researchers, start-ups, small businesses and multinational enterprises. Join the leading Database in Analytical Jobs and surf the innovation! Don’t lose time with complex installation, use MonetDB’s easy setup to get your DBMS up and running quickly.

Volt Active Data is a data platform built to make your entire tech stack leaner, faster, and less expensive, so that your applications (and your company) can scale seamlessly to meet the ultra-low latency SLAs of 5G, IoT, edge computing, and whatever comes next. Designed to augment your existing big data investments, such as NoSQL, Hadoop, Kubernetes, Kafka, and traditional databases or data warehouses, Volt Active Data replaces the various layers typically required to make contextual decisions on streaming data with a single, unified layer that can handle ingest to action in less than 10 milliseconds. The world is full of data that’s generated, stored, forgotten, and then deleted. “Active Data” is data that needs to be acted on immediately to gain business value from it. There are lots of traditional and NoSQL data storage products that you can use to keep such data. There’s also data that you can make money from, if only you can act on it fast enough to ‘influence the moment’.

The Cloud that makes sense. From high-performance cloud ecosystem to hyperscale green datacenters, Scaleway provides the foundation for digital success. Cloud platform designed for developers & growing companies. All you need to create, deploy and scale your infrastructure in the cloud. Compute, GPU, Bare Metal & Containers. Evolutive & Managed Storage. Network. IoT. The largest choice of dedicated servers to succeed in the most demanding projects. High-end dedicated servers Web Hosting. Domain Names Services. Take advantage of our cutting-edge expertise to host your hardware in our resilient, high-performance and secure data centers. Private Suite & Cage. Rack, 1/2 & 1/4 Rack. Scaleway data centers. Scaleway is driving 6 data centers in Europe and offers cloud solutions to customers in more that 160 countries around the world. Our Excellence team: Experts by your side 24/7 year round Discover how we help our customers to use, tune & optimize their platforms with skilled expert

Empress Embedded Database engine is the heartbeat of EMPRESS RDBMS, a relational database management system specializing in embedded database technology – from car navigation systems to mission critical military command and control, from Internet routers to complex medical systems, EMPRESS beats steadily, 24/7 at the core of embedded systems applications everywhere. Empress kernel level mr API is a unique feature of Empress that gives users access to the Embedded Database kernel libraries. This Empress API provides the fastest means of accessing Empress databases. MR Routines give the developer maximum control over time and space in developing real-time embedded database applications. Empress ODBC and JDBC APIs applications to access Empress databases in both standalone and client/server mode. Empress ODBC and JDBC APIs enable many 3rd party ODBC and JDBC capable software packages to access a local Empress database or via Empress Connectivity Server.

Achieve superior, cost-effective database performance with maximum flexibility using CA's proven, Web-enabled, high-performance mainframe relational database management system. Rock-solid database with reliable, scalable, secure, high-performance and cost-effective database management. Let's you more easily participate in mobile-to-mainframe initiatives, cloud, web, and analytics using open capabilities. Highly scalable to handle ever-increasing business demands, designed for efficiency and to help reduce costs. IDMS users have the ability to quickly and easily access data in order to leverage solutions that analyze system issues, automate processes and alerts, and create intelligent recommendations for tuning. Next-gen users have the ability to execute and automate IDMS administration using common tools and scripting languages. Let’s take a journey in partnership to delve into your project needs.

The management of data in telecommunications systems has many aspects of which some, but not all, are addressed by traditional Database Management Systems (DBMSs). In particular, the high level of fault tolerance required in many nonstop systems, combined with requirements on the DBMS to run in the same address space as the applications, have led us to implement a new DBMS, called Mnesia. Mnesia is implemented in, and tightly coupled to Erlang. It provides the functionality that is necessary for the implementation of fault-tolerant telecommunications systems. Mnesia is a multiuser distributed DBMS specifically designed for industrial-grade telecommunications applications written in Erlang, which is also the intended target language. Mnesia tries to address all the data management issues required for typical telecommunications systems and has a number of features not normally found in traditional DBMSs.

A simpler, more secure way to build fault-tolerant cloud applications, powered by the revolutionary cloud-native DBOS operating system. Based on 3 years of joint MIT-Stanford open source R&D, DBOS revolutionizes cloud-native architecture. DBOS is a cloud-native OS that builds on a relational database to radically simplify today's complex cloud application stacks. DBOS powers DBOS Cloud, a transactional serverless platform that provides fault-tolerance, observability, cyber-resilience, and easy cloud deployment to stateful TypeScript applications. OS services are implemented on top of a distributed DBMS. Built-in transactional, fault-tolerant state management that simplifies the stack, with no need for containers, cluster management, or workflow orchestration. Seamless scaling, high performance, and high availability. Metrics, logs, and traces are stored in SQL-accessible tables. Smaller cyber attack surface, cyberattack self-detection, and cyber-resilience.

Your customer's mission-critical video surveillance and security applications require a reliable platform that performs at peak performance 24/7/365. To meet these requirements StarWind offers purpose-built platforms that leverage fault-tolerant architecture from storage and up to application management. StarWind HCA platforms combine server, storage, networking, and hypervisor as well as a single proactive support umbrella for all components. You tell us your requirements and we tailor you the perfect solution preserving Milestone, Genetec, and Briefcam best practices, and put it through all the required testing to give you fastest possible time-to-solution and peace of mind knowing your reputation and the solution you deliver to your customers are both rock-solid. We covered all the needs and pain points specific to Integrators and MSPs in the security space: unbeatable performance, fault tolerance, convenient management, and minimized hardware footprint.

RocksDB uses a log structured database engine, written entirely in C++, for maximum performance. Keys and values are just arbitrarily-sized byte streams. RocksDB is optimized for fast, low latency storage such as flash drives and high-speed disk drives. RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs.

In-memory computing with TIBCO ActiveSpaces® in-memory data grid provides a distributed, consistent, fault-tolerant database that supports scalability for mixed read/write workloads and full system of record capabilities. ActiveSpaces® technology draws on available server memory but also stores it to local disks for data safety and for scaling to handle the processing of the largest data volumes. With the ActiveSpaces solution, contextual, reference, and operational data normally housed in back-end applications can be stored in memory for lightning-fast performance. It's the kind of performance you need to delight customers and beat the other guys. Any data stored anywhere can now be included in real-time processing and decision-making. ActiveSpaces technology handles large data volumes. You can dynamically add capacity without a system restart. Persistence is distributed, so it's often possible to remove costly databases and associated failure points from legacy implementations.

Use Ignite as a traditional SQL database by leveraging JDBC drivers, ODBC drivers, or the native SQL APIs that are available for Java, C#, C++, Python, and other programming languages. Seamlessly join, group, aggregate, and order your distributed in-memory and on-disk data. Accelerate your existing applications by 100x using Ignite as an in-memory cache or in-memory data grid that is deployed over one or more external databases. Think of a cache that you can query with SQL, transact, and compute on. Build modern applications that support transactional and analytical workloads by using Ignite as a database that scales beyond the available memory capacity. Ignite allocates memory for your hot data and goes to disk whenever applications query cold records. Execute kilobyte-size custom code over petabytes of data. Turn your Ignite database into a distributed supercomputer for low-latency calculations, complex analytics, and machine learning.

What is CoSort? IRI CoSort® is a fast, affordable, and easy-to-use sort/merge/report utility, and a full-featured data transformation and preparation package. The world's first sort product off the mainframe, CoSort continues to deliver maximum price-performance and functional versatility for the manipulation and blending of big data sources. CoSort also powers the IRI Voracity data management platform and many third-party tools. What does CoSort do? CoSort runs multi-threaded sort/merge jobs AND many other high-volume (big data) manipulations separately, or in combination. It can also cleanse, mask, convert, and report at the same time. Self-documenting 4GL scripts supported in Eclipse™ help you speed or leave legacy: sort, ETL and BI tools; COBOL and SQL programs, plus Hadoop, Perl, Python, and other batch jobs. Use CoSort to sort, join, aggregate, and load 2-20X faster than data wrangling and BI tools, 10x faster than SQL transforms, and 6x faster than most ETL tools.

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.

Esper Enterprise Edition is a distributable platform for linear and elastic horizontal scalability and fault-tolerant event processing. EPL editor and debugger; Hot deployment; Detailed metric and memory use reporting with break-down and summary per EPL. Data Push for multi-tier CEP-to-Browser delivery; Management of Logical and Physical Subscribers and Subscriptions. Web-based user interface for managing all aspects of multiple distributed engine instances with JavaScript and HTML 5. Composable, configurable and interactive displays of distributed event streams or series; Charts, Gauges, Timelines, Grids. JDBC-compliant client and server endpoints for interoperability. Esper Enterprise Edition is a closed-source commercial product by EsperTech. The source code is made available to support customers only. Esper Enterprise Edition is a distributable platform for linear and elastic horizontal scalability and fault-tolerant event processing.

Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (“distributed SQLite”) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. C-Raft is tuned to minimize transaction latency. C-Raft and dqlite are both written in C for maximum cross-platform portability. Published under the LGPLv3 license with a static linking exception for maximum compatibility. Includes common CLI pattern for database initialization and voting member joins and departures. Minimal, tunable delay for failover with automatic leader election. Disk-backed database with in-memory options and SQLite transactions.

Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads. Because Spot Instances are tightly integrated with AWS services such as Auto Scaling, EMR, ECS, CloudFormation, Data Pipeline and AWS Batch, you can choose how to launch and maintain your applications running on Spot Instances. Moreover, you can easily combine Spot Instances with On-Demand, RIs and Savings Plans Instances to further optimize workload cost with performance. Due to the operating scale of AWS, Spot Instances can offer the scale and cost savings to run hyper-scale workloads.

Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures.

Most companies today have a variety of mixed workloads, with different levels of business criticality. The smartest organizations are sizing and designing their IT infrastructure to match the availability requirements of their applications, and paying only for what they need. Fault-tolerant systems for those applications that must work 24/7/365. High availability systems where up to 4 hours of downtime could be acceptable. everRun simplifies the process of meeting your changing availability requirements. A highly versatile, yet affordable and continuously available software solution, everRun , combined with industry-standard x86 systems, quickly and easily protects your virtualized data and workloads. Use everRun to quickly and cost-effectively deliver the levels of continuous availability you need, when and where you need it.

BMC Compuware Topaz Connect bridges the IT systems that manage mainframe applications with the modern tooling used to manage non-mainframe applications, eliminating siloes that can disrupt innovation. By connecting the mainframe to disparate platforms in the enterprise, companies can track processes for mainframe applications in the same manner as they do for other hardware and software platforms. Eliminates siloes created by lack of integrated tooling, enabling faster delivery of business value. Maximizes enterprise IT automation by reducing disparate manual processes. Leverages existing IT service management (ITSM) investments. Includes the mainframe in DevOps processes. Enhances process efficiencies. Enables mainframe-inexperienced programmers to manage mainframe code. Connect BMC Compuware ISPW and ITSM solutions such as BMC Helix and Tivoli. Communicate specifics of an ITSM code change to BMC Compuware ISPW.

Core banking solution in SaaS-Cloud concept tailored for fully digital banks without "brick&mortar" branches. We provide fully outsourced multi-tenant, multi-language, cloud solutions running on top quality fault-tolerant IT platforms in data centers provided with reliable and trusted partners. This way our clients have benefits of the latest technologies and concepts merged with our extensive banking products offering, proven track record, and experience with banks and other financial institutions. The pricing model for the solution can be institution-based or user-based or transaction-based or a combination of mentioned models tailored for specific needs and business goals. The power of information technology has strong continuous growth. Data processing speeds are expressed in nanoseconds and data transfers in billions of characters per second. This technology is ideal for institutions like banks whose business is about money and calculations with high volumes of processing.

A modern mainframe CI/CD tool can ensure your mainframe code pipelines are secure, stable, and streamlined throughout the DevOps lifecycle. With BMC Compuware ISPW, you’ll have the confidence of knowing that you can quickly and safely build, test, and deploy mainframe code. ISPW empowers developers of all experience levels to increase the quality, velocity, and efficiency of software development and delivery. Use ISPW for mainframe source code management (SCM) as well as build and deploy, or with enterprise Git. Connect with modern DevOps toolchains using REST APIs and command line interfaces (CLIs). Flexibility to work in Eclipse-based Topaz, ISPF, or VS Code. Automate, standardize, and monitor deployments into multiple target environments. Support multiple developers working on the same program at the same time. Catch conflicts early with intuitive displays that show the real-time status of all programs throughout the lifecycle.

BMC Compuware Topaz is a comprehensive suite of modern mainframe development and testing tools designed for greater developer productivity, no matter how old or complex the program. Get modern mainframe development and testing with better visibility and knowledge. A Compuware-commissioned Forrester Consulting study found that 64 percent of mainframe-powered organizations are running over half their mission-critical workloads on the mainframe. Meanwhile, they are only replacing one-third of retiring experts. Given this new reality, it is critical companies adopt a force multiplier that lets their development teams accomplish more with less. The Topaz suite can help mainframe developers at all experience levels quickly understand, update, test, maintain and troubleshoot even the oldest, most complex or most poorly documented systems.

WinSQL is a powerful universal database management tool that is used by 90 percent of Fortune 500 companies and more than a million programmers and DBAs around the globe. WinSQL is a generic querying tool that connects to any relational database (RDBMS) for which an Open Database Connectivity (ODBC) driver is available, virtually all RDBMS on the market today. Connect to a variety of databases, including: heavy duty vendors Oracle, MS SQL Server, DB2, Sybase, Informix to lightweight backends like MS Access, DBase, and Text File. Generate royalty-free executables that can be used by your business users to run queries. These can be either static or dynamic queries that pull fresh data from the back-end. Export or simply open any query results into MS Excel with just a click of your mouse. You can even import an existing Excel spreadsheet to a database table by simply dragging an *.XSL file in the catalog tree.

Morphis Transformer for Cobol Automated Refactoring from Mainframe to Serverless When it comes to move workloads from mainframe to the cloud, we face two possible paths: Re-hosting: a more tactical approach that preserves the original code almost untouched. Refactoring: a more strategic alternative, in which new applications, written in more modern languages, are obtained from the legacy sources. At first glance Re-hosting can be more appealing, since it represents inferior cost and risks. But if Refactoring uses very high automation, both Re-host and Refactoring approaches can be pursued in projects with similar duration, similar risks, and similar costs. We here demonstrate the Morphis Automated Refactoring, yet tailored, approach to migrate from COBOL/CICS OLTP applications to single page applications, with JavaEE or .NET server logic, fully integrated with cloud native services. Furthermore, this approach also allows us to achieve the ultimate costs.

Adaptive Data Virtualization™ technology enables enterprises to run their existing applications on modern cloud data warehouses, without rewriting or reconfiguring them. Datometry Hyper-Q™ lets enterprises adopt new cloud databases rapidly, control ongoing operating expenses, and build out analytic capabilities for faster digital transformation. Datometry Hyper-Q virtualization software allows any existing applications to run on any cloud database, making applications and databases interoperable. Enterprises can now adopt the cloud database of choice, without having to rip, rewrite and replace applications. Enables runtime application compatibility with Transformation and Emulation of legacy data warehouse functions. Deploys transparently on Azure, AWS, and GCP clouds. Applications can use existing JDBC, ODBC and Native connectors without changes. Connects to major cloud data warehouses, Azure Synapse Analytics, AWS Redshift, and Google BigQuery.

IBM® Developer for z/OS® (IDz) is a modern, robust toolset for developing and maintaining IBM z/OS applications through the use of DevOps practices. It helps you deliver more, faster, with better quality and greater agility. IBM Developer for z/OS, formerly Rational Developer for z Systems (RDz), offers COBOL, PL/I, High Level Assembler, REXX, C/C++, JCL, and JavaTM development tools on an Eclipse base. With Enterprise Edition, developers have the option to choose Microsoft VS Code or Red Hat(R) CodeReady Workspaces for their daily z/OS development work. IBM z/OS application development tools offer a simple to use, intuitive user interface. A fully integrated debugger provides developers the ability to test, examine, monitor, and control the execution of programs in context. Modern editors appeal to new mainframe developers, while ISPF style editors offer navigation that is familiar to traditional mainframe developers.

JCL Check Workload Automation helps reduce delays in your production cycle. It validates the accuracy of job control language (JCL) and also helps identify execution-time errors, such as security violations and missing data sets that could cause jobs to fail. By quickly validating JCL and identifying problems, it provides users with advanced warnings so corrective actions can be taken before the job is executed in the production cycle. Improves the integrity and readability of JCL by automating the enforcement of JCL standards. Detects a wide range of error conditions before production jobs and schedules are adversely impacted. Enhances efficiency by reformatting JCL to user-defined standards. Reduce repair time and eliminate failed restarts. Automate scheduling and job management. Fault-tolerant, highly available workload solution with an easy-to-use user interface. Efficient, finely tuned automation environment with predictive workload analytics.

A distributed, fault-tolerant graph database. FlockDB is a distributed graph database for storing adjancency lists, with goals of supporting a high rate of add/update/remove operations, potientially complex set arithmetic queries, paging through query result sets containing millions of entries, ability to "archive" and later restore archived edges, horizontal scaling including replication, and online data migration. Non-goals include multi-hop queries (or graph-walking queries), and automatic shard migrations. FlockDB is much simpler than other graph databases such as neo4j because it tries to solve fewer problems. It scales horizontally and is designed for on-line, low-latency, high throughput environments such as web-sites. Twitter uses FlockDB to store social graphs (who follows whom, who blocks whom) and secondary indices. As of April 2010, the Twitter FlockDB cluster stores 13+ billion edges and sustains peak traffic of 20k writes/second and 100k reads/second.