Fuel System Software

Fuel System Software Alternatives & Competitors

Looking for alternatives to Fuel System Software? Tons of people want Key-Value Stores . What's difficult is finding out whether or not the you choose is right for you.

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Top 20 Alternatives & Competitors to Fuel System Software

    #1
    #1
  1. Redis

    (76)4.4 out of 5
    Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists , and sets.
  2. Redis is an open source, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists , and sets.

    Redis review by ammu P.
    "Review for redis: Redis is a open source ,Scalability ,Pub sub models,Luascript,key expire,key space notifications,Memory optimization,distributing of data among multiple redis instances Memory optimization,key expires,creating secondary indexes with redis,Pipelining concepts in redis, No lack on tutorial for a lot of use cases, storing temporarily data"
    #2
    #2
  3. Aerospike

    (53)4.3 out of 5
    Optimized for quick response
    Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.
  4. Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database.

    Aerospike review by Carl J.
    "Aerospike scale is amazing and great support: Aerospike's performance is by far its best feature. It is the biggest reason to use the technology, though the clustering aspects also are quite stable and simple to manage."
    #3
    #3
  5. Hbase

    (44)4.2 out of 5
    A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.
  6. A scalable, distributed database that supports structured data storage for large tables. Use HBase when you need random, realtime read/write access to Big Data.

    Hbase review by Gubendran L.
    "Very good NoSQL DB: The best with Hbase is data stored in hadoop cluster. The read is much faster. Data is replicated in clusters. Region Transition upon server failures is faster. Version based storage as defined. RDBMS (MySQL) we use need to maintain version data like history. Defining FamilyName helps grouping set of qualifiers (Columns) in a given row is good to fetch only certain group of columns data. Filters (RowFilter, SingleColumnFilter API) is flexible to fetch data based on requirement by filtering pattern. "
    #4
    #4
  7. ArangoDB

    (38)4.8 out of 5
    ArangoDB is a distributed, free, and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.
  8. ArangoDB is a distributed, free, and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

    ArangoDB review by Kerry H.
    "Amazingly good!: So many software companies have a “good produce” but have huge gaps somewhere - poor support, steep learning curve, extraordinarily high pricing, ridiculous development base (“Jython”, I’m looking at you!), etc. ArangoDB is the first product I have used (in 20 years!) that is complete. It is developer-friendly, user-friendly, has amazingly good support, is extremely performant, plays nice in cloud-native land, has built-in clustering, and (last, but NOT least) IT WORKS! I am continually amazed at how often I am PLEASENTLY surprised by features, performance, or the company."
    #5
    #5
  9. Azure Cosmos DB

    (32)4.1 out of 5
    Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.
  10. Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.

    Azure Cosmos DB review by Sujith N.
    "Document DB - A mixed strength of both NoSQL and relational solutions: 1. Documents are stored and served in the JSON format 2. Documents can be retrieved using a rich query language that plays well with the JSON syntax 3. It has a rich server-side Javascript API, letting you create data processing functions 4. full indexing is done by default hence query performance would be better 5. Comparatively cheaper to other No SQL DB's"
    #6
    #6
  11. Couchbase

    (28)4.2 out of 5
    Couchbase is engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications.
  12. Couchbase is engineered to meet the elastic scalability, consistent high performance, always-on availability, and data mobility requirements of mission critical applications.

    Couchbase review by Danh N.
    "Working with couchbase: I entered a project with couchbase already integrated and I used it as a datastore for one of the apps. It was relatively simple to work with, the included groovy jdk seemed decently documented and wasn't a pain to work with. It was missing some key features however(batch gets) so we had to write a service ontop of their jdk. I mainly did operations through the console. It was ok. It was hard to use couchbase like a rds instance since it is a nosql db. Stuff like querying for documents with certain fields had to be done by first setting up indexes."
    #7
    #7
  13. Cloudera

    (24)4.1 out of 5
    Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.
  14. Cloudera Enterprise Core provides a single Hadoop storage and management platform that natively combines storage, processing and exploration for the enterprise.

    Cloudera review by Administrator in Information Technology and Services
    "Solid Hadoop Platform with Awesome Support: Very Stable Platform and Cloudera is very quick on adding/enhancing features and always some thing to learn, explore and apply to business needs. Customer Support is brilliant and issue resolution and RCA is very detailed. Engineering teams are more pro-active. Cloudera Data Sciense Workbenck is one tool which data scientists leverage for end-to-end analytics and DS."
    #8
    #8
  15. Redis Enterprise

    (22)4.2 out of 5
    Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.
  16. Redis Enterprise is a managed cloud service for hosting and running your redis dataset with predictable performance.

    Redis Enterprise review by SHUBHAM K.
    "FAST AND WELL-STRUCTURED: The best part is its speed and Maintainance. Its very well structured and very easy to use and the documentation regarding the pricing and all are crystal clear to the customers and thus it is very much practical and can handle big data with good an efficiency"
    #9
    #9
  17. BoltDB

    (18)4.4 out of 5
    BoltDB is an embedded key/value database for Go.
  18. BoltDB is an embedded key/value database for Go.

    BoltDB review by Karolis R.
    "Migrated Hoverfly backend from Redis to BoltDB to reduce dependencies: Super fast mmap implementation where operating system caches everything. Reduced dependencies and persistence storage. It also enables transactions and due to the fact that it's embedded - no connection pool. "
    #10
    #10
  19. Azure Redis Cache

    (19)3.8 out of 5
    Azure Redis Cache is a secure data cache and messaging broker that provides high throughput and low-latency access to data for applications.
  20. Azure Redis Cache is a secure data cache and messaging broker that provides high throughput and low-latency access to data for applications.

    Azure Redis Cache review by Amy S.
    "Fast Database Supporting Many Data Types: It was very easy to implement and set up on Azure Portal. We use the basic cache mainly for testing and find it very secure and reliable."
    #11
    #11
  21. Google Cloud Datastore

    (14)4.4 out of 5
    Google Cloud Datastore is a NoSQL document database built for automatic scaling, high performance, and ease of application development.
  22. Google Cloud Datastore is a NoSQL document database built for automatic scaling, high performance, and ease of application development.

    Cloud Datastore review by Gabriela K.
    "Works perfect: i most like you can access to all Cloud Platform tools only with one account. If you are using large amount storage products and files then you must check Google Store. It's just awesome. Mobile version is working smoothly, autosave, synchronization, uploading is great. "
    #12
    #12
  23. InterSystems Cache

    (16)4.3 out of 5
    InterSystems Caché® is an advanced database management system and rapid application development environment. With Caché, you’ll make breakthroughs in processing and analyzing complex Big Data, and developing Web and mobile applications.
  24. InterSystems Caché® is an advanced database management system and rapid application development environment. With Caché, you’ll make breakthroughs in processing and analyzing complex Big Data, and developing Web and mobile applications.

    InterSystems Cache review by Sean C.
    "Caché, a dependable platform: Caché is a comprehensive platform that is much more than just a database. At its core, Caché is a key value hierarchical database that has compact storage, excellent memory caching, fast reads and writes, optimised index traversing, all underpinned with ACID transactions. A powerful feature of Caché is having unfettered access to this key value storage. It allows developers to come up with innovative solutions to expensive data operations without always having to fit square data pegs into round relational holes. Caché has a core processing language that compiles down to efficient runtime C code. The higher level language called COS is an object oriented language that is a little unusual at first sight, but easy to learn, and very productive to work with. Caché has a built in object persistence layer which acts like an ORM. It's not an ORM par se, and does not suffer form the leaky abstractions and complexities that often plague an external ORM. Persistent objects are compiled down into relational like tables, and can be queried using standard SQL. From an ODBC / JDBC perspective, Caché looks and feels like and mainstream relational database. Being able to store data as objects, tables and/or key value stores makes Caché a unique solution, enabling developers to pick the right storage for the right job, often enabling code driven solutions that could never be achieved by a single database without scalability nightmares. Caché has a comprehensive set of internal libraries. This includes a great deal of interoperability to connect to and from external technologies. It includes tight bindings for Java and C# and several other programming languages. It also has very strong support for TCP, HTTP, FTP, Mail, SOAP and much more. One testament to Caché is that Ensemble, a successful Integration engine, is built entirely on top of Caché using mainly its core libraries. Caché has a built in web gateway with large scale concurrency. Web applications can be developed in a variety of ways. This includes a traditional web page technology called CSP, or with its proprietary web platform called Zen. For a less opinionated approach, applications can be built as pure object solutions, or as a RESTfull back end service. Caché is not without its peccadilloes and the odd love/hate feature, but then does any technology? For me, its not the individual parts, be them perfect or imperfect, but its the sum of all these parts that makes it an exceptional platform to work and deploy on. It is a platform that you have to learn to love at first. It can be easy to install and reasonably quick to figure out, but there will be a few hurdles along the way as you find the best ways to do and not to do certain things. It helps to have an experienced developer around to get the best out of the platform and realise its full potential. Once you deploy your first greenfield project you will easily get hooked. In general you will write much less boiler plate code than other stacks. Less code always means less bugs and lower cost of development. Tooling is not perfect, but there are some cool features such as built in code generators that really help churn out generic framework code. From experience, Caché has been the most reliable database that I have worked on. I've had instances that have been up for years without even the smallest glitch. Even when it does come to an abrupt halt, it typically recovers automatically, even repairing in-flight transactions. Mirroring is simple to set up and very fast to fail over, users rarely even notice. In general, Caché does not need a full time DBA, Caché developers often pick up this role because it has minimal overheads. On the whole, I feel much more productive with Caché, compared to mixed stack technologies. I always feel confident that my applications will scale and I sleep easy about my deployments. "
    #13
    #13
  25. DataStax

    (11)4.1 out of 5
    Big data platform built on Apache Cassandra.
  26. Big data platform built on Apache Cassandra.

    DataStax review by Daniel L.
    "Review for DataStax: Our data was decentralized. It has therefore become indispensable to implement a customer master data management solution to deploy a consolidated vision of our clients in one single point."
    #14
    #14
  27. Memcached

    (11)4.6 out of 5
    Memcached is a high-performance, distributed memory object caching system
  28. Memcached is a high-performance, distributed memory object caching system

    Memcached review by Diego J.
    "Super fast and stable, but lacks of any advance methods.: It's as fast and as stable as it can be. It never crashed. Its performance is unbeatable because of its simplicity, it does what it has to do, and it does it very well."
    #15
    #15
  29. Oracle NoSQL Database Cloud

    (10)4.0 out of 5
    A NoSQL database service with on-demand throughput and storage based provisioning that supports JSON, Table and Key-Value datatypes, all with flexible transaction guarantees.
  30. A NoSQL database service with on-demand throughput and storage based provisioning that supports JSON, Table and Key-Value datatypes, all with flexible transaction guarantees.

    Oracle NoSQL Database Cloud review by Stirling N.
    "A basic tool for SQL users: Oracle NoSQL is, what bets can be described, as a middle of the road option, based on client server technology that Oracle does so well. It is based on the Berkeley DB edition, with Java. this means it is not able to run Scala and other newer technologies, natively. The server is based on a number of nodes, the main key of which is incorporated to the server that a record belongs to, by way of a simple hash key. there is only a single master, but multiple replica DB system. one of the problems is that it can take a long time to update the shards- by updating the key-value pairs - though it does not need the shutdown as many other systems are. One of the better benefits is the way noSQL updates the nodes if the master shard feels - the database if it cannot repair based on a database transaction it will attempt a PAXOS transaction. this means that the database will stay up longer than those which basically fail if the main goes down. it also makes the normal Oracle mechanisms to provide ACID transactions in cases where noSQL does not."
    #16
    #16
  31. Azure Table Storage

    (6)4.3 out of 5
    Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.
  32. Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud.

    Azure Table Storage review by Vicente R.
    "Cheap and reliable database solution: I really enjoy its flexibility. Table storage is great for storing data in a simple key-value format. Also, queries are fast when they are in the same partition."
    #17
    #17
  33. MapR

    (5)3.7 out of 5
    MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports many mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use, and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform.
  34. MapR delivers on the promise of Hadoop with a proven, enterprise-grade platform that supports many mission-critical and real-time production uses. MapR brings unprecedented dependability, ease-of-use, and world-record speed to Hadoop, NoSQL, database and streaming applications in one unified Big Data platform.

    MapR review by Executive Sponsor in Computer & Network Security
    "Good solution for real big data and real time analytics use cases: Enterprise ready solution for big data use cases. It is by far the best solution from performance and feature set perspective comparing to its competitors. MapR streams and spyglass is something I like the most along with proprietary formula around MapR FS and Spark integration. Support is fantastic and have not introduced managed service option which works for many of the companies to avoid the complexities."
    See all MapR reviews
    #18
    #18
  35. Coherence

    (4)4.5 out of 5
    Oracle Coherence is a in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data.
  36. Oracle Coherence is a in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data.

    Coherence review by Teresa K.
    "Increased performance and incredibly reliable.: Been using coherence for years and it's been so incredibly reliable. Don't even need to think about it much."
    #19
    #19
  37. Berkeley DB 12c

    (5)4.7 out of 5
    Oracle Berkeley DB provides an open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model.
  38. Oracle Berkeley DB provides an open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model.

    Berkeley DB review by Bhavesh G.
    "A powerful storage service: Oracle has raised the bar with this storage service. it is very robust and secure."
    #20
    #20
  39. Infinispan

    (4)3.5 out of 5
    Infinispan is an extremely scalable, highly available key/value data store and data grid platform. It is 100% open source, and written in Java. The purpose of Infinispan is to expose a data structure that is distributed, highly concurrent and designed ground-up to make the most of modern multi-processor and multi-core architectures. It is often used as a distributed cache, but also as a NoSQL key/value store or object database.
  40. Infinispan is an extremely scalable, highly available key/value data store and data grid platform. It is 100% open source, and written in Java. The purpose of Infinispan is to expose a data structure that is distributed, highly concurrent and designed ground-up to make the most of modern multi-processor and multi-core architectures. It is often used as a distributed cache, but also as a NoSQL key/value store or object database.

    Infinispan review by Cosmin S.
    "An open-source, flexible, enterprise-grade clustered cache and in-memory data grid: Great beginner documentation, proven track record, open-source, performant, great community. Our adoption has been relying mostly on the open-source version of Infinispan. We have not reached out to RedHat for any enterprise support, as we would like to first evaluate the product before opting for the Enterprise features."